Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Qiuyuan Tian"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103969- (2024)
Effectively utilizing the complementary characteristics between optical and SAR remote sensing images to accurately identify change information is of great practical significance. Direct pixel comparisons are challenging since they come from sensors
Externí odkaz:
https://doaj.org/article/91b21461c5d14934a352a4f3949788aa
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6958-6971 (2024)
Existing deep-learning supervised change detection (CD) networks still have room for improvement, as they do not fully utilize multiscale features in their feature extraction, resulting in insufficient feature representation ability and edge blurring
Externí odkaz:
https://doaj.org/article/683a4328a9354bdd8ef5a3aaf1a3f2fd
Publikováno v:
Geocarto International, Vol 39, Iss 1 (2024)
AbstractThe task of change detection (CD) in optical and SAR images is an ever-evolving and demanding subject within the realm of remote sensing (RS). It holds great significance to identify the target areas by using complementary information between
Externí odkaz:
https://doaj.org/article/c2a18c274dc743cb9e7c0a63be6a3fd4
Publikováno v:
Remote Sensing, Vol 15, Iss 16, p 3972 (2023)
As well as very high resolution (VHR) remote sensing technology and deep learning, methods for detecting changes in buildings have made great progress. Despite this, there are still some problems with the incomplete detection of change regions and ro
Externí odkaz:
https://doaj.org/article/0f770f7aaddf4fa2bc268443d95dd75e