Spatial-Temporal Evolution Guided Change Detection Network for Remote Sensing Images

• Published in: IEEE journal of selected topics in applied earth observations and remote sensing Vol. 17; pp. 14080 - 14092
• Main Authors: Wang, Qingwang, Hong, Zheng, Huang, Jiangbo, Zhao, Xiaobin, Song, Jian, Zeng, Kai, Shi, Jianwu, Shen, Tao
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Change detection; Change detection (CD); convolutional neural network; Decoding; deep learning (DL); Evolution; Feature extraction; Image color analysis; Imaging; Information processing; Interference; Remote sensing; Seasonal distribution; Spatial distribution; spatial-temporal evolution; Spatiotemporal data; Standardization; Task analysis; very high resolution (VHR) image

With the rapid advancement of remote sensing technology, bitemporal remote sensing change detection (CD) techniques have also seen significant progress. However, existing CD tasks still face two challenges: 1) Variations in lighting and seasonal factors complicate imaging conditions, causing pseudov...