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Referring Change Detection in Remote Sensing Imagery [PDF]

Korkmaz, Yilmaz, Paranjape, Jay N., de Melo, Celso M., Patel, Vishal M.   +3 more
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Large Selective Kernel Network for Remote Sensing Object Detection

IEEE International Conference on Computer Vision, 2023
Recent research on remote sensing object detection has largely focused on improving the representation of oriented bounding boxes but has overlooked the unique prior knowledge presented in remote sensing scenarios.
Yuxuan Li, Qibin Hou, Zhaohui Zheng, Mingmei Cheng, Jian Yang, Xiang Li   +5 more
semanticscholar   +1 more source

RingMo: A Remote Sensing Foundation Model With Masked Image Modeling

IEEE Transactions on Geoscience and Remote Sensing, 2023
Deep learning approaches have contributed to the rapid development of remote sensing (RS) image interpretation. The most widely used training paradigm is to use ImageNet pretrained models to process RS data for specified tasks.
Xian Sun, Peijin Wang, Wanxuan Lu, Zicong Zhu, Xiaonan Lu, Qi He, Junxi Li, Xuee Rong, Zhujun Yang, Hao Chang, Qinglin He, Guang Yang, Ruiping Wang, Jiwen Lu, Kun Fu   +14 more
semanticscholar   +1 more source

CMTFNet: CNN and Multiscale Transformer Fusion Network for Remote-Sensing Image Semantic Segmentation

IEEE Transactions on Geoscience and Remote Sensing, 2023
Convolutional neural networks (CNNs) are powerful in extracting local information but lack the ability to model long-range dependencies. In contrast, the transformer relies on multihead self-attention mechanisms to effectively extract the global ...
Honglin Wu, Peng Huang, M. Zhang, Wenlong Tang, Xinyu Yu   +4 more
semanticscholar   +1 more source

Scale in Remote Sensing and GIS

, 2023
Introduction: Scale, Multiscaling, Remote Sensing, and GIS, M.F. Goodchild and D.A. Quattrochi Multiscale Nature of Spatial Data in Scaling Up Environmental Models, L. Bian Scale Dependence of NDVI and its Relationship to Mountainous Terrain, S.J. Walsh,
D. Quattrochi, M. Goodchild
semanticscholar   +1 more source

FFCA-YOLO for Small Object Detection in Remote Sensing Images

IEEE Transactions on Geoscience and Remote Sensing
Issues, such as insufficient feature representation and background confusion, make detection tasks for small object in remote sensing arduous. Particularly, when the algorithm will be deployed on board for real-time processing, which requires extensive ...
Yin Zhang, Mu Ye, Guiyi Zhu, Yong Liu, Pengyu Guo, Junhua Yan   +5 more
semanticscholar   +1 more source

A Multilevel Multimodal Fusion Transformer for Remote Sensing Semantic Segmentation

IEEE Transactions on Geoscience and Remote Sensing
Accurate semantic segmentation of remote sensing data plays a crucial role in the success of geoscience research and applications. Recently, multimodal fusion-based segmentation models have attracted much attention due to their outstanding performance as
Xianping Ma, Xiaokang Zhang, Man-on Pun, Ming Liu   +3 more
semanticscholar   +1 more source

RS3Mamba: Visual State Space Model for Remote Sensing Image Semantic Segmentation

IEEE Geoscience and Remote Sensing Letters
Semantic segmentation of remote sensing images is a fundamental task in geoscience research. However, convolutional neural networks (CNNs) and transformers have some significant shortcomings.
Xianping Ma, Xiaokang Zhang, Man-on Pun
semanticscholar   +1 more source