研究論文
胡茂桂、王勁峰等發表關于超分辨率圖像重建的SCI文章
文章來源： | 發布時間：2009-11-24 | 【打印】 【關閉】
胡茂桂、王勁峰、葛詠一起撰寫的SCI文章：Super-Resolution Reconstruction of Remote Sensing Images Using Multifractal Analysis在Sensors上發表。該文引用格式：Hu Mao-Gui, Wang Jin-Feng, Ge Yong. 2009. Super-resolution reconstruction of remote sensing images using multifractal analysis. Sensors 9(11): 8669-8683.
論文題目: Super-Resolution Reconstruction of Remote Sensing Images Using Multifractal Analysis
英文論文題目: Super-Resolution Reconstruction of Remote Sensing Images Using Multifractal Analysis
第一作者: 胡茂桂
英文第一作者: Mao-Gui Hu
發表年度: 2009
摘要: 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., intraurban). 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 resolutionenhanced image is generated by a fractal coding-based denoising and downscaling method. The empirical case shows that the reconstructed super-resolution image performs well in detail enhancement. This method is not only useful for remote sensing in investigating Earth, but also for other images with multifractal characteristics.
刊物名稱: Sensors
英文刊物名稱: Sensors
論文類別: SCI
英文論文類別: SCI
參與作者: 王勁峰、葛詠
英文參與作者: Jin-Feng Wang and Yong Ge
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