D Song, Y Dong, X Li - IEEE Journal of Selected Topics in …, 2022 - ieeexplore.ieee.org
At present, convolution neural networks have achieved good performance in remote sensing image change detection. However, due to the locality of convolution, these methods are …
Z Ying, Z Tan, Y Zhai, X Jia, W Li, J Zeng… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Remote sensing change detection (RSCD) focuses on identifying regions that have undergone changes between two remote sensing images captured at different times …
T Bouček, L Stará, K Pavelka, K Pavelka Jr - Remote Sensing, 2023 - mdpi.com
After the end of World War II, many military air bases in Greenland were abandoned with all the material left in place. One of these sites was the Bluie East Two military air base. A …
Z Wang, Y Wang, B Wang, M Xiang, R Wang, W Xu… - Remote Sensing, 2022 - mdpi.com
This paper focuses on the study of a multi-frequency interferometric coherence characteristics analysis of typical objects for coherent change detection. Coherent change …
L ZHOU, B WANG, Y WANG, Y ZHU, Z JIAO, C SONG… - 电子与信息学报, 2023 - jeit.ac.cn
With the development of Synthetic Aperture Radar (SAR) technology, Multidimensional Space Joint-observation, which includes polarimetry, frequency, angle, and time spaces …
Detecting change areas among two or more remote sensing images is a key technique in remote sensing. It usually consists of generating and analyzing a difference image thus to …
CV Lopez, U Stilla - IEEE Journal of Selected Topics in Applied …, 2022 - ieeexplore.ieee.org
In this article, a novel synthetic aperture radar (SAR) change detection method for the monitoring of man-made objects (MMOs) is presented. Rather than looking for changes in …
P Liu - 2022 IEEE 10th Joint International Information …, 2022 - ieeexplore.ieee.org
SAR remote sensing water segmentation technology can play an essential role in many scientific research and engineering fields. Feature selection and construction are crucial in …