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Research on Target Detection Algorithm NSAR-NPAMF Based on Spectral Smoothing in HSI

Author: LinXiaoZuo
Tutor: ZhangJianQi
School: Xi'an University of Electronic Science and Technology
Course: Physical Electronics
Keywords: Hyperspectral remote sensing image
CLC: TP751
Type: Master's thesis
Year: 2009
Downloads: 131
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Abstract


This paper mainly based on the spectral dimension smoothing technique of hyperspectral remote sensing image and pixel target detection NSAR - NPAMF algorithm. First of all, this paper introduces several kinds of typical hyperspectral remote sensing image all pixels target detection method and the pixel target detection method and based on the unsteady autoregressive model normalized parameter adaptive matched filtering method (NSAR - NPAMF). Secondly, the analysis of the Kelly, AMF, ACE and other typical of the hyperspectral remote sensing image and pixel target detection algorithm in practical application and limitations and hyperspectral remote sensing image data spectrum d the impact of the existence of the results of detection algorithm based on the factors and realize the three based on spectral d smooth NSAR - NPAMF improved algorithm. Finally, this paper introduces the ROC curve evaluation method, target background separation diagram method, background characteristic evaluation method and histogram comparison method and other typical of the target detection algorithm performance evaluation method, and the evaluation method of the improved algorithm and the algorithm of the detection results are quantitative comparison.

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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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