Exploiting Deep Matching and SAR Data for the Geo-Localization Accuracy Improvement of Optical Satellite Images

Exploiting Deep Matching and SAR Data for the Geo-Localization Accuracy Improvement of Optical Satellite Images

Improving the geo-localization of optical satellite images is an important pre-processing step for many remote sensing tasks like monitoring by image time series or scene analysis after sudden events. These tasks require geo-referenced and precisely co-registered multi-sensor data. Images captured b...

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Bibliographic Details
Main Authors: Nina Merkle, Wenjie Luo, Stefan Auer, Rupert Müller, Raquel Urtasun
Format: Article
Language:English
Published: MDPI AG 2017-06-01
Series:Remote Sensing
Subjects:
geo-referencing
multi-sensor image matching
Siamese neural network
satellite images
synthetic aperture radar
Online Access:http://www.mdpi.com/2072-4292/9/6/586

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http://www.mdpi.com/2072-4292/9/6/586

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