2023
DOI: 10.1016/j.jag.2023.103366
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Cascaded attention-induced difference representation learning for multispectral change detection

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Cited by 4 publications
(1 citation statement)
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“…Finally, the time-domain transformer is used to extract the useful change features between the current image pair, and the detection result is obtained through the multi-layer perceptron. Zhang et al [46] proposed a cascaded attention-induced differential representation learning method for multispectral change detection, which explores the correlation of features extracted from bitemporal images to obtain more discriminative features, and finally detects the discriminative features and obtains the final detection map.…”
Section: Introduction 1backgroundmentioning
confidence: 99%
“…Finally, the time-domain transformer is used to extract the useful change features between the current image pair, and the detection result is obtained through the multi-layer perceptron. Zhang et al [46] proposed a cascaded attention-induced differential representation learning method for multispectral change detection, which explores the correlation of features extracted from bitemporal images to obtain more discriminative features, and finally detects the discriminative features and obtains the final detection map.…”
Section: Introduction 1backgroundmentioning
confidence: 99%