DASNet: Dual Attentive Fully Convolutional Siamese Networks for Change Detection in High-Resolution Satellite Images

Change detection is a basic task of remote sensing image processing. The research objective is to identify the change information of interest and filter out the irrelevant change information as interference factors. Recently, the rise in deep learning has provided new tools for change detection, whi...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE journal of selected topics in applied earth observations and remote sensing Ročník 14; s. 1194 - 1206
Hlavní autori:	Chen, Jie, Yuan, Ziyang, Peng, Jian, Chen, Li, Huang, Haozhe, Zhu, Jiawei, Liu, Yu, Li, Haifeng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Change detection Data mining Datasets Deep learning Detection dual attention Feature extraction High resolution high-resolution images Image processing Image resolution Methods Remote sensing Resolution Robustness Satellite imagery Siamese network Spaceborne remote sensing Task analysis Wavelength division multiplexing weighted double-margin contrastive (WDMC) loss
ISSN:	1939-1404, 2151-1535
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!