Automatic Registration of Optical and SAR Images Based on Improved OS-SIFT

Yanchao Miao; Jinghong Liu; Chenglong Liu; Lina Wang

doi:10.3788/LOP202259.0228006

Journals >Laser & Optoelectronics Progress >Volume 59 >Issue 2 >Page 0228006 > Article

Laser & Optoelectronics Progress
Vol. 59, Issue 2, 0228006 (2022)

Automatic Registration of Optical and SAR Images Based on Improved OS-SIFT

Yanchao Miao^1、2, Jinghong Liu^1、*, Chenglong Liu^1、2, and Lina Wang³

Author Affiliations

¹Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun , Jilin 130033, China

²University of Chinese Academy of Sciences, Beijing 100039, China

³College of Mechanical and Electrical Engineering, Changchun University of Science and Technology, Changchun , Jilin 130022, China

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DOI: 10.3788/LOP202259.0228006 Cite this Article Set citation alerts

Yanchao Miao, Jinghong Liu, Chenglong Liu, Lina Wang. Automatic Registration of Optical and SAR Images Based on Improved OS-SIFT[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0228006 Copy Citation Text

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Fig. 1. Flow chart of our algorithm

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Fig. 2. Scale space maps of different methods. (a) Gaussian scale; (b) non-linear diffusion scale

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Fig. 3. Schematic diagram of scale space blocking strategy

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Fig. 4. Optical images and SAR images. (a) First group of experiment; (b) second group of experiment; (c) third group of experiment

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Fig. 5. Registration results of the first set of experiment. (a) SAR-SIFT algorithm; (b) PSO-SIFT algorithm; (c) OS-SIFT algorithm; (d) our algorithm; (e) chessboard diagram of the registration result of our algorithm

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Fig. 6. Registration results of the second set of experiment. (a) SAR-SIFT algorithm; (b) PSO-SIFT algorithm; (c) OS-SIFT algorithm; (d) our algorithm; (e) chessboard diagram of the registration result of our algorithm

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Fig. 7. Registration results of the third set of experiment. (a) SAR-SIFT algorithm; (b) PSO-SIFT algorithm; (c) OS-SIFT algorithm; (d) our algorithm; (e) chessboard diagram of the registration result of our algorithm

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Image type		Sensor	Resolution /（m·pixel^-1）	Image size /（pixel×pixel）
First group	Optical image	google earth sensor	3	1041 $\times$ 1075
First group	SAR image	airborne SAR sensor	3	1044 $\times$ 1078
Second group	Optical image	google earth sensor	3	1019 $\times$ 801
Second group	SAR image	airborne SAR sensor	3	1021 $\times$ 811
Third group	Optical image	google earth sensor	4.4	1093 $\times$ 1006
Third group	SAR image	airborne SAR sensor	5	1040 $\times$ 879

Table 1. Prior information of the experimental data

Grouping	Algorithm	CMR	RMSE	Time /s
First group	SAR-SIFT	*	*	*
	PSO-SIFT	2 $\times$ 4/（1510+1030）	2.0931	7.050
	OS-SIFT	2 $\times$ 7/（1175+1033）	1.4931	21.533
	ours	2 $\times$ 10/（1035+1066）	1.0218	22.139
Second group	SAR-SIFT	*	*	*
	PSO-SIFT	2 $\times$ 4/（2407+1114）	0.9821	7.528
	OS-SIFT	2 $\times$ 4/（1072+1080）	0.4252	9.833
	ours	2 $\times$ 6/（1007+1015）	0.2861	9.973
Third group	SAR-SIFT	*	*	*
	PSO-SIFT	*	*	*
	OS-SIFT	2 $\times$ 4/（1144+1132）	0.9966	15.488
	ours	2 $\times$ 8/（1116+1091）	0.4135	17.308

Table 2. Performance of different algorithms

Yanchao Miao, Jinghong Liu, Chenglong Liu, Lina Wang. Automatic Registration of Optical and SAR Images Based on Improved OS-SIFT[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0228006

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