一种全极化高分SAR与中分光学影像融合方法

doi:10.11978/2016055

Journal of Tropical Oceanography ›› 2017, Vol. 36 ›› Issue (2): 79-85.doi: 10.11978/2016055CSTR: 32234.14.2016055

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A fusion method of high-resolution full polarimetric SAR and moderate-resolution optical image

Jianhua WAN¹(), Jinxia ZANG¹(), Shanwei LIU¹, Guangbo REN²

1. School of Geosciences in China University of Petroleum, Qingdao 266580, China
2. The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China

Received:2016-06-03 Revised:2016-11-07 Online:2017-03-20 Published:2017-04-06
Supported by:
Natural Science Foundation of Shandong Province of China (ZR2016DM16);Coastal Zone Remote Sensing Monitoring and Application Demonstration of High Resolution Earth Observation System Major Projects;A Application Study on Aerial Survey and Remote Sensing Technology in Detection of Pipeline

Abstract

Abstract:

A method was proposed to solve the fusion problem of full polarimetric synthetic aperture radar (SAR) and moderate-resolution optical remote sensing image, based on principal components analysis (PCA) and HSV transform, where HSV stands for hue, saturation, and value. First, the four bands of full polarization SAR went through principal component analysis, and the first principal component was extracted. Second, moderate-resolution optical image was transformed into the HSV space, and the V component was replaced by the first principal component. Finally, the desired image was obtained by using inverse IHS transform. The experiment was performed using Radarsat-2 full polarimetric SAR and TM/ETM+ moderate-resolution optical image. A comparison of the proposed method with the fusion of single polarimetric SAR and optical image based on a traditional method (PCA transform, HSV transform, or wavelet transform) showed that the proposed method made effective use of the texture information of full polarimetric SAR and improved the capability of image interpretation.

Key words: full polarimetric synthetic aperture radar, moderate-resolution optical image, image fusion, principal component analysis, HSV transformation

CLC Number:

P237

Jianhua WAN, Jinxia ZANG, Shanwei LIU, Guangbo REN. A fusion method of high-resolution full polarimetric SAR and moderate-resolution optical image[J].Journal of Tropical Oceanography, 2017, 36(2): 79-85.

Figures/Tables 5

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References 11

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	遥感影像	均值	熵	平均梯度
2009、2010年遥感影像	TM影像	117.891	5.675	16.686
	HH极化	124.750	5.726	16.095
	HV极化	125.578	5.738	14.170
	VH极化	122.281	5.688	14.257
	VV极化	128.422	5.719	13.999
	PCA第一主成分	139.093	5.769	17.792
	本文方法	123.125	5.750	17.241
	PCA变换法	127.000	5.738	14.119
	HSV变换法	129.828	5.813	15.655
2015年遥感影像	ETM+影像	125.516	5.633	13.828
	HH极化	125.141	5.813	16.040
	HV极化	119.656	5.781	16.787
	VH极化	123.375	5.844	15.657
	VV极化	134.936	5.781	14.783
	PCA第一主成分	136.641	5.856	16.836
	本文方法	127.672	5.832	16.166
	PCA变换法	132.156	5.770	15.164
	HSV变换法	142.016	5.847	16.208

A fusion method of high-resolution full polarimetric SAR and moderate-resolution optical image

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