Comparative Analysis of Deep Learning-Based Stereo Matching and Multi-View Stereo for Urban DSM Generation

The creation of digital surface models (DSMs) from aerial and satellite imagery is often the starting point for different remote sensing applications. For this task, the two main used approaches are stereo matching and multi-view stereo (MVS). The former needs stereo-rectified pairs as inputs and th...

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書誌詳細

出版年:	Remote Sensing
主要な著者:	Mario Fuentes Reyes, Pablo d’Angelo, Friedrich Fraundorfer
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2024-12-01
主題:	disparity estimation depth estimation urban reconstruction digital surface models (DSMs) confidence estimation
オンライン･アクセス:	https://www.mdpi.com/2072-4292/17/1/1