Improved algorithm based on SURF for image registration

doi:10.6046/gtzyyg.2017.01.17

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Abstract

In view of the study status of traditional speeded-up robust features (SURF)algorithm, an improved image registration algorithm based on SURF was proposed in combination with the image blocking strategies and the relative distance theory. The proposed algorithm can improve image uniformity of the feature distribution by image blocking strategy and increase the matching accuracy of the feature point through relative distance theory. With the quantitative indicators of correct feature point matching rate and RMSE, the authors selected the QuickBird satellite data of Shapingba District in Chongqing as the test area to verify the image registration results by using the improved algorithm based on SURF. The results show that the correct feature point matching rate of improved SURF algorithm reached 88%, higher than that of the traditional SURF algorithm (the rate is 76%). Excluding the mismatching points by relative distance, the RMSE of the final registration results reached 2.69 pixels. It meets the basic need of high-precision image registration(the RMSE is 2 pixels around), achieves the automation of remote sensing image registration and thus has some promotional value.

Keywords high resolution panchromatic images residential area extraction wavelet transform (WT) fractal net evolution approach (FNEA) primitive-based texture feature primitive merging

TP751.1

Issue Date: 23 January 2017

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	HU Hualong
	XUE Wu
	QIN Zhiyuan

Cite this article:

HU Hualong,XUE Wu,QIN Zhiyuan. Improved algorithm based on SURF for image registration[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(1): 110-115.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2017.01.17 OR https://www.gtzyyg.com/EN/Y2017/V29/I1/110

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