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Multi-source remote sensing image fusion related technology research
Author: ZhongQingXin
Tutor: XiaLiMin
School: Central South University
Course: Communication and Information System
Keywords: Multi-source remote sensing image fusion Image Registration Contourlet Transform Edge features Hausdorff distance PSO Fuzzy Edge Field
CLC: TP751
Type: Master's thesis
Year: 2009
Downloads: 323
Quote: 3
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Abstract
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Multi-source remote sensing image fusion is a multi-source remote sensing image information system is an important image processing technology. With the rapid development of remote sensing technology, multi-source remote sensing image fusion applications from military to expand the area of ??photogrammetry, resource surveys, environmental monitoring and other civilian areas, how to achieve high-performance multi-source remote sensing image fusion is solved in this field major problems. In this paper, multi-source remote sensing image fusion conduct research related technologies, the main research work is as follows: (1) is proposed based on the edge of the multi-source remote sensing image registration method. Contourlet modulus maxima based edge detection algorithm for edge detection, combined with edge detection method to remove the image consistency exists false edge, non-uniform edge; Affine model image registration spatial transformation estimated by LTS Hausdorff distance edge feature similarity measure; particle swarm algorithm for the existence of premature convergence, the introduction of the distribution based on Student mutation operator to increase the diversity of the population, to provide an improved adaptive particle swarm optimization algorithm, and the adoption of improved Adaptive particle swarm optimization algorithm for image registration spatial transformation parameter optimization, to achieve an efficient multi-source remote sensing image registration. (2) edge information is proposed for multi-source remote sensing image fusion method. In G.Piella proposed pixel-level image fusion framework for multi-resolution multi-resolution image fusion with the regional framework, based on the establishment of a feature-oriented information model for multi-resolution image fusion; For multi-source remote sensing image fusion problems facing multi-resolution image feature information fusion model guidance, the use of non-down-sampling Contourlet Transform for image decomposition and reconstruction, through the establishment of a Gaussian blur edge field, and the places portrayed fuzzy edge image edge feature information introduction to each sub-band image Contourlet domain fusion rules are established, it is proposed in Contourlet domain-oriented multi-edge information source remote sensing image fusion method. (3) in-depth study of the performance evaluation of image fusion method, and select the appropriate objective performance evaluation studies on this article Contourlet Domain-oriented edge information of multi-source remote sensing image fusion method conducted a comprehensive performance evaluation. Experimental results show that the obtained fusion image fusion method has both good subjective visual effect, but also has superior objective performance evaluation, to facilitate the next step of object recognition, image understanding and so on.
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CLC: > Industrial Technology > Automation technology,computer technology > Remote sensing technology > Interpretation, identification and processing of remote sensing images > Image processing methods
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