AN EVOLUTIONARY ALGORITHM FOR FAST INTENSITY BASED IMAGE MATCHING BETWEEN OPTICAL AND SAR SATELLITE IMAGERY

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Philipp Schuegraf^2¹  Peter Fischer^1² 

[1] Dept. of Scientific Computing, University of Applied Science Munich, Lothstr. 20, Munich, Germany^2;Remote Sensing Technology Institute, German Aerospace Center (DLR), M¨unchener Str. 20, 82234 Wessling, Germany^1

关键词: Evolutionary Algorithm;    Image Matching;    Tie Point Search;    Multi-Sensor Matching;    Co-Registration;   

DOI  :  10.5194/isprs-annals-IV-3-83-2018

学科分类：地球科学(综合)

来源: Copernicus Publications

【 摘 要 】

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 image processing scenarios. The necessary preprocessing step of image matching and tie-point detection is divided into a search problem and a similarity measurement. Within this paper we evaluate the use of an evolutionary search strategy for establishing the spatial correspondence between satellite imagery of optical and radar sensors. The aim of the proposed algorithm is to decrease the computational costs during the search process by formulating the search as an optimization problem. Based upon the canonical evolutionary algorithm, the proposed algorithm is adapted for SAR/optical imagery intensity based matching. Extensions are drawn using techniques like hybridization (e.g. local search) and others to lower the number of objective function calls and refine the result. The algorithm significantely decreases the computational costs whilst finding the optimal solution in a reliable way.

【 授权许可】

CC BY