STeInFormer: Spatial–Temporal Interaction Transformer Architecture for Remote Sensing Change Detection

STeInFormer: Spatial–Temporal Interaction Transformer Architecture for Remote Sensing Change Detection

Convolutional neural networks and attention mechanisms have greatly benefited remote sensing change detection (RSCD) because of their outstanding discriminative ability. Existent RSCD methods often follow a paradigm of using a noninteractive Siamese neural network for multitemporal feature extractio...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों: Xiaowen Ma, Zhenkai Wu, Mengting Ma, Mengjiao Zhao, Fan Yang, Zhenhong Du, Wei Zhang
स्वरूप: लेख
भाषा:English
प्रकाशित: IEEE 2025-01-01
श्रृंखला:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
विषय:
Change detection
cross-spatial interaction
cross-temporal interaction
multifrequency
ऑनलाइन पहुंच:https://ieeexplore.ieee.org/document/10815617/

इंटरनेट

https://ieeexplore.ieee.org/document/10815617/

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