Built-Up Area Extraction from GF-3 SAR Data Based on a Dual-Attention Transformer Model

Built-Up Area Extraction from GF-3 SAR Data Based on a Dual-Attention Transformer Model

Built-up area (BA) extraction using synthetic aperture radar (SAR) data has emerged as a potential method in urban research. Currently, typical deep-learning-based BA extractors show high false-alarm rates in the layover areas and subsurface bedrock, which ignore the surrounding information and cann...

Full description

Bibliographic Details
Main Authors: Tianyang Li, Chao Wang, Fan Wu, Hong Zhang, Sirui Tian, Qiaoyan Fu, Lu Xu
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
built-up areas
SAR
transformer
gaofen-3 data
deep learning
Online Access:https://www.mdpi.com/2072-4292/14/17/4182

Internet

https://www.mdpi.com/2072-4292/14/17/4182

Similar Items