ADAPTIVE AND NON-ADAPTIVE FUSION ALGORITHMS ANALYSIS FOR DIGITAL SURFACE MODEL GENERATED USING CENSUS AND CONVOLUTIONAL NEURAL NETWORKS

ADAPTIVE AND NON-ADAPTIVE FUSION ALGORITHMS ANALYSIS FOR DIGITAL SURFACE MODEL GENERATED USING CENSUS AND CONVOLUTIONAL NEURAL NETWORKS

The digital surface models (DSM) fusion algorithms are one of the ongoing challenging problems to enhance the quality of 3D models, especially for complex regions with variable radiometric and geometric distortions like satellite datasets. DSM generation using Multiview stereo analysis (MVS) is the...

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Bibliographic Details
Main Authors:	H. Albanwan, R. Qin
Format:	Article
Language:	English
Published:	Copernicus Publications 2021-06-01
Series:	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2021/283/2021/isprs-archives-XLIII-B2-2021-283-2021.pdf

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