2023
DOI: 10.1109/jstars.2023.3328561
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Automatic 3D Multiple Building Change Detection Model Based on Encoder–Decoder Network Using Highly Unbalanced Remote Sensing Datasets

Masoomeh Gomroki,
Mahdi Hasanlou,
Jocelyn Chanussot

Abstract: 3D building change detection (CD) methods detect more accurate multiple change maps than 2D ones. Recent technologies such as unmanned aerial vehicle (UAV) systems and dense image matching have made it much easier to obtain 3D data nowadays. Developing a solution which produces an accurate map of multiple building changes, including Unclassified, No building change, Newly built, Demolished, and Taller, at an acceptable speed is a challenging issue. In this study we address a novel 3D building CD method based o… Show more

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Cited by 4 publications
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