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High-performance Remote-Sensing Image Fusion Algorithm Research and It’s Implementation

Author: ZhangCanFeng
Tutor: ZhongGuangJun
School: National University of Defense Science and Technology
Course: Computer Science and Technology
Keywords: Parallel Remote Sensing Image Fusion Performance Image fusion algorithm Evaluation system
CLC: TP751
Type: Master's thesis
Year: 2010
Downloads: 143
Quote: 2
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Abstract


Sensing image fusion is one pair of the image data of the remote sensor and other information processing . It focuses on those redundant or complementary in the space or time on a multi - source data , operate according to certain rules , to obtain more accurate than any single data , richer information , generate a new space , spectral , time Characteristics of the synthesized image. With the development of the sensor , remote sensing platform and related technologies , remote sensing information access to more and more , the style is also a wide variety of information , the amount of data obtained through remote sensing means along with the rapid growth . At the same time , many applications of remote sensing image processing speed requirements are also increasing . Obviously, the traditional single - processor serial fusion processing algorithm has been unable to satisfy the computing needs . The parallel is an important technical means to solve this problem . Therefore, to study the integration of remote sensing image parallel algorithm , will greatly enhance the efficiency of the fusion process has broad application prospects . In response to these needs , focusing on three typical remote sensing image fusion parallel algorithm launched a more in-depth research and practical work . The main research work and contributions are as follows : 1 each from the three types of fusion algorithm selected several typical fusion algorithm to study the parallelization of these algorithms to study and achieve real remote sensing images of these parallel algorithms correctness verification and performance analysis . 2 parallel image fusion algorithm performance optimization, and parallel fusion algorithm integrated into the remote sensing image parallel processing system . The writeback of communication and integration result of the improved algorithm performance optimizations to reduce the communication time , speedup , and parallel efficiency , reduce I / O time accounted for the proportion of the total running time of the program . 3 . Energy efficiency into account the fusion algorithm evaluation system studies . This article in-depth analysis of the existing indicators based on statistics or based on the amount of information on the results of the evaluation , the evaluation criteria in the existing fusion algorithm to increase performance factors proposed to reasonably reflect the comprehensive evaluation of the quantitative integration of quality and computational efficiency model , the establishment of a new fusion algorithm evaluation system energy efficiency into account , and easy to quantify .

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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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