Change detection is a critical task in studying the dynamics of ecosystems and human activities using multi-temporal remote sensing images. While deep learning has shown …
J Zhang, Z Shao, Q Ding, X Huang… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Advancements in Earth observation technology enable the detection of surface changes in intricate urban environments. Building change detection (BCD) plays a crucial role in urban …
J Cheng, C Deng, Y Su, Z An, Q Wang - ISPRS Journal of Photogrammetry …, 2024 - Elsevier
Abstract Unmanned Aerial Vehicle (UAV) has seen a dramatic rise in popularity for remote- sensing image acquisition and analysis in recent years. It has brought promising results in …
Z Zheng, S Tian, A Ma, L Zhang… - Proceedings of the …, 2023 - openaccess.thecvf.com
Understanding the temporal dynamics of Earth's surface is a mission of multi-temporal remote sensing image analysis, significantly promoted by deep vision models with its fuel …
Remote sensing imagery allows temporal and large-scale observation of the Earth, and advanced techniques such as deep learning have been developed to deal with the massive …
Convolutional neural networks (CNN) and Transformers have made impressive progress in the field of remote sensing change detection (CD). However, both architectures have their …
S Dong, L Wang, B Du, X Meng - ISPRS Journal of Photogrammetry and …, 2024 - Elsevier
Remote sensing change detection (RSCD), which aims to identify surface changes from bitemporal images, is significant for many applications, such as environmental protection …
M Li, X Liu, X Wang, P Xiao - IEEE Transactions on Geoscience …, 2023 - ieeexplore.ieee.org
Two main issues are faced when using very-high-spatial-resolution (VHR) satellite images for building change detection: 1) the boundaries of detected changes are hard to be …