Matching Large Baseline Oblique Stereo Images Using an End-to-End Convolutional Neural Network

The available stereo matching algorithms produce large number of false positive matches or only produce a few true-positives across oblique stereo images with large baseline. This undesired result happens due to the complex perspective deformation and radiometric distortion across the images. To add...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Guobiao Yao, Alper Yilmaz, Li Zhang, Fei Meng, Haibin Ai, Fengxiang Jin
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2021-01-01
Schriftenreihe:	Remote Sensing
Schlagworte:	large baseline oblique stereo images affine invariant features convolutional neural network deep learning least square matching
Online-Zugang:	https://www.mdpi.com/2072-4292/13/2/274
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!