AN EVOLUTIONARY ALGORITHM FOR FAST INTENSITY BASED IMAGE MATCHING BETWEEN OPTICAL AND SAR SATELLITE IMAGERY
This paper presents a hybrid evolutionary algorithm for fast intensity based matching between satellite imagery from SAR and very high-resolution (VHR) optical sensor systems. The precise and accurate co-registration of image time series and images of different sensors is a key task in multi-sensor...
Main Authors: | P. Fischer, P. Schuegraf, N. Merkle, T. Storch |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2018-04-01
|
Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-3/83/2018/isprs-annals-IV-3-83-2018.pdf |
Similar Items
-
Exploiting Deep Matching and SAR Data for the Geo-Localization Accuracy Improvement of Optical Satellite Images
by: Nina Merkle, et al.
Published: (2017-06-01) -
REGISTRATION OF OPTICAL AND SAR SATELLITE IMAGES BASED ON GEOMETRIC FEATURE TEMPLATES
by: N. Merkle, et al.
Published: (2015-12-01) -
A NEW APPROACH FOR OPTICAL AND SAR SATELLITE IMAGE REGISTRATION
by: N. Merkle, et al.
Published: (2015-03-01) -
Fast Rotation Matching Method for SAR and Optical Images
by: Xinchen Li, et al.
Published: (2021-01-01) -
A Fast Dense Feature-Matching Model for Cross-Track Pushbroom Satellite Imagery
by: Wen-Liang Du, et al.
Published: (2018-11-01)