Title :
An IHS Fusion Method Integrated by the Nonsubsampled Contourlet Transform to Fuse the Airborne X-Band InSAR and P-Band Full PolSAR Images
Author :
Sun Xiaoxia ; Zhang Jixian ; Yan Qin ; Gao Jingxiang
Author_Institution :
China Univ. of Min. & Technol., Xuzhou, China
Abstract :
The airborne X-band Interferometric SAR (InSAR) image has more detailed spatial information compared with P-band full Polarimetric SAR (PolSAR) image, conversely, P-band full PolSAR images have more abundant polarization and color information. The fusion of these two bands of SAR images may enhance information and improve interpretation capabilities. Nonsubsampled Contourlet Transform (NSCT) can represent images more effectively because of its flexible multi-scale, multi-direction and shift invariance. IHS fusion algorithm has the advantage of good performance in maintaining color information and details of images. Combining the full advantages of these two techniques, a novel IHS-NSCT based image fusion method of X-band InSAR and P-band full PolSAR images was proposed in this paper. Experiments show that the proposed method can perform better than some other methods, in terms of the visual quality, noise reduce and the improved spatial information.
Keywords :
airborne radar; image fusion; radar interferometry; radar polarimetry; synthetic aperture radar; IHS fusion; IHS-NSCT based image fusion; P-band full PolSAR images; abundant polarization; airborne X-band InSAR; color information; interferometric SAR image; nonsubsampled contourlet transform; spatial information; Filter banks; Image color analysis; Image edge detection; Image fusion; Noise; Wavelet transforms;
Conference_Titel :
Image and Data Fusion (ISIDF), 2011 International Symposium on
Conference_Location :
Tengchong, Yunnan
Print_ISBN :
978-1-4577-0967-8
DOI :
10.1109/ISIDF.2011.6024206