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

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE journal of selected topics in applied earth observations and remote sensing Ročník 14; s. 1194 - 1206
Hlavní autoři:	Chen, Jie, Yuan, Ziyang, Peng, Jian, Chen, Li, Huang, Haozhe, Zhu, Jiawei, Liu, Yu, Li, Haifeng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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 přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!