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Open AccessArticle

An Image Matching Algorithm Integrating Global SRTM and Image Segmentation for Multi-Source Satellite Imagery

1
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
2
2012 Laboratory of HUAWEI Technology Co., Ltd., Shenzhen 518000, China
*
Author to whom correspondence should be addressed.
Academic Editors: Naser El-Sheimy, Zahra Lari, Adel Moussa, Xiaofeng Li and Prasad S. Thenkabail
Remote Sens. 2016, 8(8), 672; https://doi.org/10.3390/rs8080672
Received: 7 May 2016 / Revised: 9 August 2016 / Accepted: 16 August 2016 / Published: 19 August 2016
(This article belongs to the Special Issue Multi-Sensor and Multi-Data Integration in Remote Sensing)
This paper presents a novel image matching method for multi-source satellite images, which integrates global Shuttle Radar Topography Mission (SRTM) data and image segmentation to achieve robust and numerous correspondences. This method first generates the epipolar lines as a geometric constraint assisted by global SRTM data, after which the seed points are selected and matched. To produce more reliable matching results, a region segmentation-based matching propagation is proposed in this paper, whereby the region segmentations are extracted by image segmentation and are considered to be a spatial constraint. Moreover, a similarity measure integrating Distance, Angle and Normalized Cross-Correlation (DANCC), which considers geometric similarity and radiometric similarity, is introduced to find the optimal correspondences. Experiments using typical satellite images acquired from Resources Satellite-3 (ZY-3), Mapping Satellite-1, SPOT-5 and Google Earth demonstrated that the proposed method is able to produce reliable and accurate matching results. View Full-Text
Keywords: image matching; multi-source satellite imagery; epipolar line constraint; SRTM; image segmentation; matching propagation image matching; multi-source satellite imagery; epipolar line constraint; SRTM; image segmentation; matching propagation
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MDPI and ACS Style

Ling, X.; Zhang, Y.; Xiong, J.; Huang, X.; Chen, Z. An Image Matching Algorithm Integrating Global SRTM and Image Segmentation for Multi-Source Satellite Imagery. Remote Sens. 2016, 8, 672.

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