An automatic tie point matching method for L0 level airborne three-line-array images

doi:10.6046/gtzyyg.2017.01.10

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Abstract

To tackle the problem of the large quantities and serious deformation of L0 level airborne three-line-array images, this paper proposes a tie point matching method based on SIFT algorithm and correlation coefficient. Firstly, pyramid image is generated and SIFT algorithm is used to match initial corresponding points on the top-level of pyramid image. Then tie points are propagated through pyramid images via correlation coefficient matching method. Finally, possible match error is removed based on geometric constraint of POS data, and distribution of tie points are optimized. Three stripes of ADS40 images were used for experiments. Compared with the conventional image tie point transfer method, the proposed method can improve the ratio of correct matches by more than 6% and the tie points are well-distributed.

Keywords XSD remote sensing monitoring attribute data constraint description DOM

TP751.1

Issue Date: 23 January 2017

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	DIAO Mingguang
	XUE Tao
	LIANG Jiandong
	LI Jiancun
	LIU Qiong

Cite this article:

DIAO Mingguang,XUE Tao,LIANG Jiandong, et al. An automatic tie point matching method for L0 level airborne three-line-array images[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(1): 65-70.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2017.01.10 OR https://www.gtzyyg.com/EN/Y2017/V29/I1/65

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