Research on the self-adaptive matching method of GF-1 satellite imagery considering the features of multi-camera mosaic imaging

doi:10.6046/gtzyyg.2017.04.03

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Abstract

The high precision matching of satellite images has been a problem of much concern. In this paper, the panchromatic images in the same track of GF-1 satellite PMS sensor are treated as investigated subjects. Based on the time-series statistical results of the offset property of the conjugate points, a self-adaptive image matching method is proposed considering mosaic imaging characteristics. In this method, the self-adaptive algorithm is added in the traditional image matching process. It can realize the self-adaptive selection of the target search window, search range and search direction using the iterative computation. The experiment results prove that the proposed method can achieve high precision self-adaptive matching of the GF-1 panchromatic images in the same track, which is useful for other similar satellites in future.

Keywords unmanned aerial vehicle(UAV) rural homestead ownership structure from motion camera calibration self-calibration accuracy verification

TP79

Issue Date: 04 December 2017

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	XUE Wu
	MA Yongzheng
	ZHAO Ling
	MO Delin

Cite this article:

XUE Wu,MA Yongzheng,ZHAO Ling, et al. Research on the self-adaptive matching method of GF-1 satellite imagery considering the features of multi-camera mosaic imaging[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(4): 13-19.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2017.04.03 OR https://www.gtzyyg.com/EN/Y2017/V29/I4/13

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