A Geostatistical Filter for Remote Sensing Image Enhancement
文献类型：期刊论文
| 作者 | Wang, Qunming5; Tong, Xiaohua5; Atkinson, Peter M.1,2,3,4 |
| 刊名 | MATHEMATICAL GEOSCIENCES
 |
| 出版日期 | 2020-04-01 |
| 卷号 | 52期号:3页码:317-336 |
| 关键词 | Remote sensing Geostatistics Image enhancement Image filtering Point spread function (PSF) |
| ISSN号 | 1874-8961 |
| DOI | 10.1007/s11004-019-09829-1 |
| 通讯作者 | Wang, Qunming(wqm11111@126.com) |
| 英文摘要 | In this paper, a new method was investigated to enhance remote sensing images by alleviating the point spread function (PSF) effect. The PSF effect exists ubiquitously in remotely sensed imagery. As a result, image quality is greatly affected, and this imposes a fundamental limit on the amount of information captured in remotely sensed images. A geostatistical filter was proposed to enhance image quality based on a downscaling-then-upscaling scheme. The difference between this method and previous methods is that the PSF is represented by breaking the pixel down into a series of sub-pixels, facilitating downscaling using the PSF and then upscaling using a square-wave response. Thus, the sub-pixels allow disaggregation as an attempt to remove the PSF effect. Experimental results on simulated and real data sets both suggest that the proposed filter can enhance the original images by reducing the PSF effect and quantify the extent to which this is possible. The predictions using the new method outperform the original coarse PSF-contaminated imagery as well as a benchmark method. The proposed method represents a new solution to compensate for the limitations introduced by remote sensors (i.e., hardware) using computer techniques (i.e., software). The method has widespread application value, particularly for applications based on remote sensing image analysis. |
| WOS关键词 | POINT-SPREAD FUNCTION ; IMPACT |
| WOS研究方向 | Geology ; Mathematics |
| 语种 | 英语 |
| WOS记录号 | WOS:000521969200002 |
| 出版者 | SPRINGER HEIDELBERG |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/133577]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Qunming |
| 作者单位 | 1.Univ Southampton, Geog & Environm, Southampton SO17 1BJ, Hants, England 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Queens Univ Belfast, Sch Geog Archaeol & Palaeoecol, Belfast BT7 1NN, Antrim, North Ireland 4.Univ Lancaster, Lancaster Environm Ctr, Lancaster LA1 4YQ, England 5.Tongji Univ, Coll Surveying & Geoinformat, 1239 Siping Rd, Shanghai 200092, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Qunming,Tong, Xiaohua,Atkinson, Peter M.. A Geostatistical Filter for Remote Sensing Image Enhancement[J]. MATHEMATICAL GEOSCIENCES,2020,52(3):317-336. |
| APA | Wang, Qunming,Tong, Xiaohua,&Atkinson, Peter M..(2020).A Geostatistical Filter for Remote Sensing Image Enhancement.MATHEMATICAL GEOSCIENCES,52(3),317-336. |
| MLA | Wang, Qunming,et al."A Geostatistical Filter for Remote Sensing Image Enhancement".MATHEMATICAL GEOSCIENCES 52.3(2020):317-336. |
入库方式： OAI收割
来源：地理科学与资源研究所
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