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学者姓名：朱道也
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Abstract ：
With the increasing popularity of sensors and the rapid advancement of network infrastructure and communication technology, managing, retrieving, and applying ubiquitous location information (ULI) poses a significant challenge. This study introduces the concept of the geospatial grid region name (GGRN) and proposes a ULI management method based on the GGRN (UMMG). To evaluate the feasibility and retrieval efficiency of the UMMG, it was applied to mainstream databases and compared with their spatial expansion modules. The experimental results demonstrate that the UMMG effectively addresses the challenge of precise location cognition between humans and machines while also reducing the complexity of spatial database indexing, with an overall performance improvement of 43.00 % compared to Oracle Spatial and 33.30 % compared to PostgreSQL + PostGIS.
Keyword ：
Geospatial grid region name Geospatial grid region name Geospatial region space Geospatial region space Grid management Grid management Subdivision index big table Subdivision index big table Ubiquitous location information Ubiquitous location information
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| GB/T 7714 | Zhu, Daoye , Huang, Min , Lin, Qifeng et al. Efficient management of ubiquitous location information using geospatial grid region name [J]. | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION , 2025 , 137 . |
| MLA | Zhu, Daoye et al. "Efficient management of ubiquitous location information using geospatial grid region name" . | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 137 (2025) . |
| APA | Zhu, Daoye , Huang, Min , Lin, Qifeng , Wang, Yanyu , Li, Shuang , Cheng, Chengqi . Efficient management of ubiquitous location information using geospatial grid region name . | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION , 2025 , 137 . |
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Evaluating Ecological Environment Quality (EEQ) is crucial for sustainable development, particularly in arid and semi-arid regions with particular environmental and socioeconomic characteristics. This study introduces a Particular Remote Sensing Ecological Index (PRSEI), incorporating the Sand Index (SI) and Turbidity Index (TI) based on the traditional Remote Sensing Ecological Index (RSEI), to better reflect the EEQ in the Beijing-Tianjin Sand Source Region (BTSSR) from 2000 to 2020. The Theil-Sen median, Mann–Kendall test, and Hurst index were applied to explore the trend of PRSEI, and the optimal parameters-based geographical detector model evaluated the impact of influencing factors and their interactions. The results in this study indicate that (1) PRSEI and RSEI demonstrated high consistency (R2 = 0.972), with PRSEI outperforming RSEI in capturing regional ecological differences. (2) The EEQ of BTSSR was significantly improved during the study period, and PRSEI showed a strong uptrend in most areas, 61.771% of the areas were strongly improved, 26.154% were light improved, and 11.821% were seriously degraded. The future development trend is mainly based on the “Up-Up” model, which indicates that the EEQ of BTSSR is generally improved. The mean q-value for the single-factor detection was 0.382, while for the interactive detection, it was 0.612, highlighting the significant role of factors’ interaction in PRSEI variation. In general, this study serves as a scientific foundation for advancing ecological conservation and fostering sustainable socio-economic development in arid and semi-arid regions, offering critical insights to support targeted strategies and informed decision-making. © 2025 Wuhan University. Published by Informa UK Limited, trading as Taylor & Francis Group.
Keyword ：
Beijing-Tianjin Sand Source Region Beijing-Tianjin Sand Source Region Ecological Environment Quality Ecological Environment Quality optimal parameters-based geographical detector model optimal parameters-based geographical detector model Particular Remote Sensing Ecological Index Particular Remote Sensing Ecological Index trend analysis trend analysis
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| GB/T 7714 | Sun, H. , Huang, M. , Lin, H. et al. Spatiotemporal dynamics of ecological environment quality in arid and sandy regions with a particular remote sensing ecological index: a study of the Beijing-Tianjin Sand source region [J]. | Geo-Spatial Information Science , 2025 . |
| MLA | Sun, H. et al. "Spatiotemporal dynamics of ecological environment quality in arid and sandy regions with a particular remote sensing ecological index: a study of the Beijing-Tianjin Sand source region" . | Geo-Spatial Information Science (2025) . |
| APA | Sun, H. , Huang, M. , Lin, H. , Ge, Y. , Zhu, D. , Gong, D. et al. Spatiotemporal dynamics of ecological environment quality in arid and sandy regions with a particular remote sensing ecological index: a study of the Beijing-Tianjin Sand source region . | Geo-Spatial Information Science , 2025 . |
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Identifying agricultural machinery operations is crucial for enhancing agricultural productivity and promoting the transition to data-driven agriculture. Current research focuses solely on administrative divisions, overlooking the links between machinery movement, natural spatial patterns, and spatiotemporal dependencies. The direct clustering of GNSS points is inefficient and incurs substantial computational costs. In response to these challenges, we introduce an unsupervised clustering method based on multiscale spatiotemporal partitioning, which systematically integrates spatial and temporal dimensions to analyze GNSS trajectory data. By designing multiscale grids and temporal partitions, we efficiently processed high-dimensional trajectory data by employing t-SNE and K-means++ algorithms for dimensionality reduction and clustering, and the visualization validated the clustering effectiveness. When applied to GNSS data from the wheat harvest season in China, the results revealed distinct patterns of harvester movement, including trans-regional movement trends. The geogrids are clustered into four groups, each of which exhibits a distinct spatiotemporal relationship. A combined geogrid analysis with administrative regions identified Anhui as having the highest flow density, whereas Henan had the most concentrated areas of trans-regional harvester flow. These findings offer valuable insights for planning harvester operations, particularly in trans-regional harvester management, by understanding complex spatiotemporal dynamics.
Keyword ：
agricultural machinery agricultural machinery cluster analysis cluster analysis geogrid geogrid harvester flow harvester flow Spatiotemporal partition Spatiotemporal partition
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| GB/T 7714 | Zhu, Daoye , Xiao, Boyong , Xie, Haoling et al. Exploring trans-regional harvesting operation patterns based on multi-scale spatiotemporal partition using GNSS trajectory data [J]. | INTERNATIONAL JOURNAL OF DIGITAL EARTH , 2025 , 18 (1) . |
| MLA | Zhu, Daoye et al. "Exploring trans-regional harvesting operation patterns based on multi-scale spatiotemporal partition using GNSS trajectory data" . | INTERNATIONAL JOURNAL OF DIGITAL EARTH 18 . 1 (2025) . |
| APA | Zhu, Daoye , Xiao, Boyong , Xie, Haoling , Li, Dong , He, Haitong , Zhai, Weixin . Exploring trans-regional harvesting operation patterns based on multi-scale spatiotemporal partition using GNSS trajectory data . | INTERNATIONAL JOURNAL OF DIGITAL EARTH , 2025 , 18 (1) . |
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In addressing global climate change and promoting economic growth, achieving a comprehensive carbon balance at the county level is vital for sustainable development. However, most studies focus on the balance between carbon emissions and sequestration (CESB), neglecting the intricate ecological and economic carbon balance (EECB) at this scale. This study introduces an analytical framework that couples economic development with ecological protection by using coupling coordination degree analysis, carbon balance zoning, and the Markov-PLUS model. Taking Jiangxi Province as a case study, we evaluate the spatio-temporal dynamics of carbon balance from 2000-2020 and predict future trends for 2030 under four potential development scenarios. Results reveal significant regional variations in CESB over the two decades, which primarily exhibit net carbon emission. Meanwhile, the continuous decline in EECB highlights the need for balanced economic and ecological development. By 2030, the land use's carbon sequestration capacity is expected to increase under different scenarios, leading to a 'middle-high, sides-low' spatial pattern in CESB. These findings are crucial for policymakers in devising strategies for sustainable regional development.
Keyword ：
Carbon balance Carbon balance carbon emission carbon emission ecological protection ecological protection economic development economic development land use land use scenario simulation scenario simulation
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| GB/T 7714 | Deng, Yuliang , Huang, Min , Gong, Daohong et al. Carbon balance dynamic evolution and simulation coupling economic development and ecological protection: a case study of Jiangxi Province at county scale from 2000-2030 [J]. | INTERNATIONAL JOURNAL OF DIGITAL EARTH , 2025 , 18 (1) . |
| MLA | Deng, Yuliang et al. "Carbon balance dynamic evolution and simulation coupling economic development and ecological protection: a case study of Jiangxi Province at county scale from 2000-2030" . | INTERNATIONAL JOURNAL OF DIGITAL EARTH 18 . 1 (2025) . |
| APA | Deng, Yuliang , Huang, Min , Gong, Daohong , Ge, Yong , Lin, Hui , Zhu, Daoye et al. Carbon balance dynamic evolution and simulation coupling economic development and ecological protection: a case study of Jiangxi Province at county scale from 2000-2030 . | INTERNATIONAL JOURNAL OF DIGITAL EARTH , 2025 , 18 (1) . |
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The SDGSAT-1 satellite, independently developed and launched by China, features a higher spatial resolution in its glimmer imager (GLI) data than the currently widely used nighttime light (NTL) remote sensing data, making it possible for high-precision extraction of urban built-up areas (UBAs). However, recent empirical studies have revealed that the higher resolution of the NTL data does not inherently guarantee enhanced accuracy of the UBA extraction, as urban morphology and city scale significantly influence the performance. Therefore, comprehensively investigating the UBA extraction performance of NTL data across cities with different morphologies and scales offers valuable guidance for optimizing urban remote sensing methodologies in diverse city contexts. Across 15 representative cities with various urban characteristics in China, this article conducted a comprehensive evaluation of the UBA extraction performance of SDGSAT-1 GLI data for the first time, with the NPP-VIIRS NTL data for comparison, and discussed how urban morphology and city scale affect the performance in UBA extraction. The results indicated that: 1) In cities with different morphologies, the UBA extraction performance of SDGSAT-1 data follows from high to low: striped cities, clustered cities, and agglomerate cities. In cities with different scales, the UBA extraction performance of SDGSAT-1 data is megacities > super cities > medium cities > small cities > large cities. 2) Compared with NPP-VIIRS data, SDGSAT-1's performance in UBA extraction is not always superior and varies with the urban morphology and city scale as well as the extraction method, which necessitates context-sensitive selection for NTL data and method in UBA extraction.
Keyword ：
Accuracy Accuracy City scale City scale Data mining Data mining Feature extraction Feature extraction Land surface Land surface Morphology Morphology nighttime light remote sensing nighttime light remote sensing Remote sensing Remote sensing SDGSAT-1 SDGSAT-1 Soft sensors Soft sensors Spatial resolution Spatial resolution Support vector machines Support vector machines Urban areas Urban areas urban built-up area extraction urban built-up area extraction urban morphology urban morphology
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| GB/T 7714 | Huang, Min , Zhong, Shun , Ge, Yong et al. Evaluating the Performance of SDGSAT-1 GLI Data in Urban Built-Up Area Extraction From the Perspective of Urban Morphology and City Scale: A Case Study of 15 Cities in China [J]. | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING , 2025 , 18 : 17166-17180 . |
| MLA | Huang, Min et al. "Evaluating the Performance of SDGSAT-1 GLI Data in Urban Built-Up Area Extraction From the Perspective of Urban Morphology and City Scale: A Case Study of 15 Cities in China" . | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 18 (2025) : 17166-17180 . |
| APA | Huang, Min , Zhong, Shun , Ge, Yong , Lin, Hui , Chang, Lishu , Zhu, Daoye et al. Evaluating the Performance of SDGSAT-1 GLI Data in Urban Built-Up Area Extraction From the Perspective of Urban Morphology and City Scale: A Case Study of 15 Cities in China . | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING , 2025 , 18 , 17166-17180 . |
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Faced with the wide-scale characteristics of objects in optical remote sensing images, the current object detection models are always unable to provide satisfactory detection capabilities for remote sensing tasks. To achieve better wide-scale coverage for various remote sensing regions of interest, this article introduces a multiprediction mechanism to build a novel region generation model, namely, a multiple region proposal experts network (MRPENet). Meanwhile, to achieve both region proposal coverage and receptive field coverage of wide-scale objects, we constructed a prior design of an anchor (PDA) module and an adaptive features compensation (AFC) module to achieve the coverage of wide-scale remote sensing objects. To better utilize the multiexpert characteristics of our model, we customized a new training sample allocation strategy, dynamic scale-assigned expert learning (DSAEL), to cultivate the ability of experts to deal with objects at various scales. To the best of our knowledge, this is the first time that a multiple region proposal network (RPN) mechanism has been used in the object detection of optical remote sensing images. Extensive experiments have shown the generality and effectiveness of our MRPENet. Without bells and whistles, MRPENet achieves a new state-of-the-art (SOTA) on standard benchmarks, i.e., DOTA-v1.0 [82.02% mean average precision (mAP)], HRSC2016 (98.16% mAP), and FAIR1M-v1.0 (48.80% mAP).
Keyword ：
Adaptation models Adaptation models Adaptive features compensation (AFC) Adaptive features compensation (AFC) Adaptive systems Adaptive systems Detectors Detectors dynamic scale-assigned expert learning (DSAEL) dynamic scale-assigned expert learning (DSAEL) Feature extraction Feature extraction multi-prediction mechanism multi-prediction mechanism object detection object detection Object detection Object detection Optical imaging Optical imaging Proposals Proposals remote sensing remote sensing Remote sensing Remote sensing Semantics Semantics Training Training wide-scale coverage wide-scale coverage
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| GB/T 7714 | Lin, Qifeng , Huang, Haibin , Zhu, Daoye et al. Multiple Region Proposal Experts Network for Wide-Scale Remote Sensing Object Detection [J]. | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING , 2025 , 63 . |
| MLA | Lin, Qifeng et al. "Multiple Region Proposal Experts Network for Wide-Scale Remote Sensing Object Detection" . | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 63 (2025) . |
| APA | Lin, Qifeng , Huang, Haibin , Zhu, Daoye , Chen, Nuo , Fu, Gang , Yu, Yuanlong . Multiple Region Proposal Experts Network for Wide-Scale Remote Sensing Object Detection . | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING , 2025 , 63 . |
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For objects with arbitrary angles in optical remote sensing (RS) images, the oriented bounding box regression task often faces the problem of ambiguous boundaries between positive and negative samples. The statistical analysis of existing label assignment strategies reveals that anchors with low Intersection over Union (IoU) between ground truth (GT) may also accurately surround the GT after decoding. Therefore, this article proposes an attention-based mean-max balance assignment (AMMBA) strategy, which consists of two parts: mean-max balance assignment (MMBA) strategy and balance feature pyramid with attention (BFPA). MMBA employs the mean-max assignment (MMA) and balance assignment (BA) to dynamically calculate a positive threshold and adaptively match better positive samples for each GT for training. Meanwhile, to meet the need of MMBA for more accurate feature maps, we construct a BFPA module that integrates spatial and scale attention mechanisms to promote global information propagation. Combined with S2ANet, our AMMBA method can effectively achieve state-of-the-art performance, with a precision of 80.91% on the DOTA dataset in a simple plug-and-play fashion. Extensive experiments on three challenging optical RS image datasets (DOTA-v1.0, HRSC, and DIOR-R) further demonstrate the balance between precision and speed in single-stage object detectors. Our AMMBA has enough potential to assist all existing RS models in a simple way to achieve better detection performance. The code is available at https://github.com/promisekoloer/AMMBA.
Keyword ：
Accuracy Accuracy Attention feature fusion Attention feature fusion Detectors Detectors Feature extraction Feature extraction label assignment label assignment Location awareness Location awareness Object detection Object detection optical remote sensing (RS) images optical remote sensing (RS) images Optical scattering Optical scattering oriented object detection oriented object detection Remote sensing Remote sensing Semantics Semantics Shape Shape Training Training
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| GB/T 7714 | Lin, Qifeng , Chen, Nuo , Huang, Haibin et al. Attention-Based Mean-Max Balance Assignment for Oriented Object Detection in Optical Remote Sensing Images [J]. | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING , 2025 , 63 . |
| MLA | Lin, Qifeng et al. "Attention-Based Mean-Max Balance Assignment for Oriented Object Detection in Optical Remote Sensing Images" . | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 63 (2025) . |
| APA | Lin, Qifeng , Chen, Nuo , Huang, Haibin , Zhu, Daoye , Fu, Gang , Chen, Chuanxi et al. Attention-Based Mean-Max Balance Assignment for Oriented Object Detection in Optical Remote Sensing Images . | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING , 2025 , 63 . |
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The development concept of "Ecological Life Community of Mountains, Rivers, Forests, Fields, Lakes, and Grass" for ecological civilization construction holds substantial practical significance for the balanced advancement of regional economy, social development, and ecological environment. Constructing an ecological security pattern (ESP), a significant strategic initiative for ecological civilization-building, is essential to balance protection and development and explore a harmonious coexistence between humans and nature. However, traditional research methods have limitations using overly simplistic indicators and the overlay analysis method in identifying ecological sources, in their ability to discern the original information contained in various factors and can only identify homogenous ecological sources. Accordingly, taking the Poyang Lake Ecological Urban Agglomeration (PLEUA) as an example, this study constructs an innovative framework for regional sustainable development based on the perspectives of ecosystem health, integrity, and ecosystem services association, characterized by "contribution-sensitivity-vigour-organization". An adaptive generation approach utilizing deep learning, specifically the self-organizing mapping neural network model, is employed to overcome the traditional homogenisation problem and identify various types of ecological sources by integrating multi-sourced data, which was used to address the issue of original information loss caused by overlay analysis and homogenization of ecosources. Building upon these insights, the study utilizes the minimum cumulative resistance model, gravity model, and other theories to extract eco-corridors and nodes, thereby constructing an ESP (20 ecological sources, 30 ecological corridors, and 61 ecological nodes) for PLEUA. An optimized pattern of "one ring, two corridors, two zones, and multiple cores" is proposed in this study and provides policy recommendations for regional land development optimization and environmental management enhancement. This configuration serves as a crucial reference for achieving regional spatial optimization and sustainable development in the PLEUA. Furthermore, this study provides insights and ideas for other cities undergoing rapid urbanization to coordinate the interactions between human activities and the ecological security of natural resources during the process of urban expansion, promoting a healthy and sustainable urban expansion process.
Keyword ：
Ecological security pattern Ecological security pattern Ecosystem Ecosystem Multi-sourced data Multi-sourced data SOM SOM Sustainable development Sustainable development
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| GB/T 7714 | Gong, Daohong , Huang, Min , Ge, Yong et al. Revolutionizing ecological security pattern with multi-source data and deep learning: An adaptive generation approach [J]. | ECOLOGICAL INDICATORS , 2025 , 173 . |
| MLA | Gong, Daohong et al. "Revolutionizing ecological security pattern with multi-source data and deep learning: An adaptive generation approach" . | ECOLOGICAL INDICATORS 173 (2025) . |
| APA | Gong, Daohong , Huang, Min , Ge, Yong , Zhu, Daoye , Chen, Jifa , Chen, Yong et al. Revolutionizing ecological security pattern with multi-source data and deep learning: An adaptive generation approach . | ECOLOGICAL INDICATORS , 2025 , 173 . |
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Global climate fluctuations pose challenges not only to natural environments but also to the conservation and transmission of human cultural and historical heritage. World Heritage Sites are pivotal regions for studying climate change impacts and devising adaptation strategies, with remote sensing technology showcasing significant utility in monitoring these impacts, especially in the Mediterranean region's diverse and sensitive climate context. Although existing work has begun to explore the role of remote sensing in monitoring the effects of climate change, detailed analysis of the spatial distribution and temporal trends of landscape stability remains limited. Leveraging remote sensing data and its derived products, this study assessed climate change impacts on the Causses and C & eacute;vennes Heritage Site, a typical Mediterranean heritage landscape. Specifically, this study utilized remote sensing data to analyze the trends in various climatic factors from 1985 to 2020. The landscape stability model was developed utilizing land cover information and landscape indicators to explore the landscape stability and its distribution features within the study area. Finally, we adopted the Geographical Detector to quantify the extent to which climatic factors influence the landscape stability's spatial distribution across different periods. The results demonstrated that (1) the climate showed a warming and drying pattern during the study period, with distinct climate characteristics in different zones. (2) The dominance of woodland decreased (area proportion dropped from 76% to 66.5%); transitions primarily occurred among woodland, cropland, shrubland, and grasslands; landscape fragmentation intensified; and development towards diversification and uniformity was observed. (3) Significant spatiotemporal differences in landscape stability within the heritage site were noted, with an overall downward trend. (4) Precipitation had a high contribution rate in factor detection, with the interactive enhancement effects between temperature and precipitation being the most prominent. The present study delivers a thorough examination of how climate change affects the Causses and C & eacute;vennes Heritage Landscape, reveals its vulnerabilities, and offers crucial information for sustainable conservation efforts. Moreover, the results offer guidance for the preservation of similar Mediterranean heritage sites and contribute to the advancement and deepening of global heritage conservation initiatives.
Keyword ：
climate change climate change geographical detector geographical detector landscape stability landscape stability Mediterranean climate Mediterranean climate the Causses and C & eacute;vennes the Causses and C & eacute;vennes world heritage world heritage
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| GB/T 7714 | Zhu, Mingzhuo , Zhu, Daoye , Huang, Min et al. Assessing the Impact of Climate Change on the Landscape Stability in the Mediterranean World Heritage Site Based on Multi-Sourced Remote Sensing Data: A Case Study of the Causses and Cévennes, France [J]. | REMOTE SENSING , 2025 , 17 (2) . |
| MLA | Zhu, Mingzhuo et al. "Assessing the Impact of Climate Change on the Landscape Stability in the Mediterranean World Heritage Site Based on Multi-Sourced Remote Sensing Data: A Case Study of the Causses and Cévennes, France" . | REMOTE SENSING 17 . 2 (2025) . |
| APA | Zhu, Mingzhuo , Zhu, Daoye , Huang, Min , Gong, Daohong , Li, Shun , Xia, Yu et al. Assessing the Impact of Climate Change on the Landscape Stability in the Mediterranean World Heritage Site Based on Multi-Sourced Remote Sensing Data: A Case Study of the Causses and Cévennes, France . | REMOTE SENSING , 2025 , 17 (2) . |
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Generally, the interesting objects in aerial images are completely different from objects in nature, and the remote sensing objects in particular tend to be more distinctive in aspect ratio. The existing convolutional networks have equal aspect ratios of the receptive fields, which leads to receptive fields either containing non-relevant information or being unable to fully cover the entire object. To this end, we propose Horizontal and Vertical Convolution, which is a plug-and-play module to address different aspect ratio problems. In our method, we introduce horizontal convolution and vertical convolution to expand the receptive fields in the horizontal and vertical directions, respectively, to reduce redundant receptive fields, so that remote sensing objects with different aspect ratios can achieve better receptive fields coverage, thereby achieving more accurate feature representation. In addition, we design an attention module to dynamically aggregate these two sub-modules to achieve more accurate feature coverage. Extensive experimental results on the DOTA and HRSC2016 datasets show that our HVConv achieves accuracy improvements in diverse detection architectures and obtains SOTA accuracy (mAP score of 77.60% with DOTA single-scale training and mAP score of 81.07% with DOTA multi-scale training). Various ablation studies were conducted as well, which is enough to verify the effectiveness of our model.
Keyword ：
backbone network backbone network irregular aspect ratio irregular aspect ratio object detection object detection redundancy receptive fields redundancy receptive fields
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| GB/T 7714 | Chen, Jinhui , Lin, Qifeng , Huang, Haibin et al. HVConv: Horizontal and Vertical Convolution for Remote Sensing Object Detection [J]. | REMOTE SENSING , 2024 , 16 (11) . |
| MLA | Chen, Jinhui et al. "HVConv: Horizontal and Vertical Convolution for Remote Sensing Object Detection" . | REMOTE SENSING 16 . 11 (2024) . |
| APA | Chen, Jinhui , Lin, Qifeng , Huang, Haibin , Yu, Yuanlong , Zhu, Daoye , Fu, Gang . HVConv: Horizontal and Vertical Convolution for Remote Sensing Object Detection . | REMOTE SENSING , 2024 , 16 (11) . |
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