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A Study On Remote Sensing Image Fusion Technology And Quality Evaluation

Posted on:2007-03-31Degree:MasterType:Thesis
Country:ChinaCandidate:L Y ZhouFull Text:PDF
GTID:2120360212475836Subject:Environmental Engineering
Abstract/Summary:PDF Full Text Request
Since the successful launching of various remote-sensing satellites, we can get remote sensing data with different spatial, spectral and temporal resolution from different remote sensing platforms. These image data formulate a image pyramid, provide user with the Earth observation data from coarse to fine resolution, from multi-spectral to hyper-spectral. However, how to integrate a great deal of data together for information extraction and applications of the remote sensing image has been one of the focus problem at present, which data make up the insufficient information of single images. The research work of this paper can be divided into the following parts:(1) A systematic summary is given on the basic theory, characteristics, frame, practice, actuality and problems of Multi-sensors Remote Sensing Image Data Fusion.(2) By the analysis of image preprocessing, we present and implement a flow of image registration for image fusion.(3)The common algorithms of image fusion are summed up synthetically in this paper, at the same time, we divide these algorithms into two kinds, and give computational complexity, apply area and image quality of these methods.(4) In order to emphasize the linear objects in remote sensing image, a new mending edges enhancement fusion approach is devised based on the fusion image and edge detection algorithms in this paper, which solved the short of texture information.(5) Based on the brief sum-up of current remote sensing image quality evaluation methods, a new statistical parameter namely distribution function is presented to evaluate fusion image, at last, we give a theory system based on the visual judgment, quantitative statistical parameters and graph comparison.
Keywords/Search Tags:Image fusion, Quality evaluation, Distribution function, Feature enhancement
PDF Full Text Request
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