super-resolution reconstruction of remote sensing images using multifractal analysis使用多重分形分析遥感图像的超分辨率重建.pdf

Sensors 2009, 9, 8669-8683; doi:10.3390/ OPEN ACCESS sensors ISSN 1424-8220 /journal/sensors Article Super-Resolution Reconstruction of Remote Sensing Images Using Multifractal Analysis Mao-Gui Hu, Jin-Feng Wang * and Yong Ge Institute of Geographic Sciences Nature Resources Research, Chinese Academy of Sciences, Beijing, China; E-Mails: humg@ (M.H.); gey@ (Y.G.) * Author to whom correspondence should be addressed; E-Mail: wangjf@; Tel.: +86-10-6488-8965; Fax: +86-10-6488-9630. Received: 3 August 2009; in revised form: 10 October 2009 / Accepted: 21 October 2009 / Published: 29 October 2009 Abstract: Satellite remote sensing (RS) is an important contributor to Earth observation, providing various kinds of imagery every day, but low spatial resolution remains a critical bottleneck in a lot of applications, restricting higher spatial resolution analysis (e.g., intra- urban). In this study, a multifractal-based super-resolution reconstruction method is proposed to alleviate this problem. The multifractal characteristic is common in Nature. The self-similarity or self-affinity presented in the image is useful to estimate details at larger and smaller scales than the original. We first look for the presence of multifractal characteristics in the images. Then we estimate parameters of the information transfer function and noise of the low resolution image. Finally, a noise-free, spatial resolution-