CURVELET BASED U-NET FRAMEWORK FOR BUILDING FOOTPRINT IDENTIFICATION

This paper proposes a multiresolution based U-net composite architecture for segmentation of remotely sensed images for building footprint identification. The features derived from curvelet decompositions at different scales are augmented to capture curvilinear discontinuities of the building footpr...

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Bibliographic Details
Main Authors: R. A. Ansari, W. Thomas
Format: Article
Language:English
Published: Copernicus Publications 2023-05-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://isprs-archives.copernicus.org/articles/XLVIII-2-W3-2023/15/2023/isprs-archives-XLVIII-2-W3-2023-15-2023.pdf