AEKAN: Exploring Superpixel-Based AutoEncoder Kolmogorov-Arnold Network for Unsupervised Multimodal Change Detection

Multimodal change detection (MCD) has garnered significant interest due to its capacity to address a variety of emergencies in a timely and effective manner. However, discrepancies in sensors and imaging techniques often hinder the direct comparison of heterogeneous remote sensing images (HRSIs), ma...

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Vydáno v:	IEEE transactions on geoscience and remote sensing Ročník 63; s. 1 - 14
Hlavní autoři:	Liu, Tongfei, Xu, Jianjian, Lei, Tao, Wang, Yingbo, Du, Xiaogang, Zhang, Weichuan, Lv, Zhiyong, Gong, Maoguo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.01.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Analytical models Change detection Coders Commonality Commonality features Decoders Feature extraction heterogeneous images Image reconstruction Image sensors Imaging techniques Information processing Kolmogorov-Arnold Network (KAN) Land surface multimodal change detection (MCD) Radar imaging Remote sensing Sensor phenomena and characterization Sensors Source code Sun Training
ISSN:	0196-2892, 1558-0644
On-line přístup:	Získat plný text
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