Difference Enhancement and Spatial-Spectral Nonlocal Network for Change Detection in VHR Remote Sensing Images

The popular Siamese convolutional neural networks (CNNs) for remote sensing (RS) image change detection (CD) often suffer from two problems. First, they either ignore the original information of bitemporal images or insufficiently utilize the difference information between bitemporal images, which l...

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Vydané v:	IEEE transactions on geoscience and remote sensing Ročník 60; s. 1 - 13
Hlavní autori:	Lei, Tao, Wang, Jie, Ning, Hailong, Wang, Xingwu, Xue, Dinghua, Wang, Qi, Nandi, Asoke K.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Artificial neural networks Change detection Change detection (CD) Clustering algorithms Coders Computer applications Computing costs Convolution Detection difference enhancement (DE) module Feature extraction Image edge detection Image enhancement Image resolution Information processing Modules Neural networks Remote sensing Robustness Siamese convolutional neural networks (CNNs) spatial-spectral nonlocal (SSN) module Spectra Task analysis Tightness
ISSN:	0196-2892, 1558-0644
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