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多源遥感图像融合平台的设计与实现(PDF)

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2006年04期
Page:
85-88
Column:
研究论文
publishdate:
2006-04-20

Article Info:/Info

Title:
Design and Implementation of Multi-source Remote Sensing Image Fusion Platform
Article ID:
1000-2006(2006)04-0085-04
Author(s):
ZHOU Yu ZHANG Li-ning WU Li-mei
College of Information Science and Technology Nanjing Forestry University, Nanjing 210037, China
Keywords:
Image fusion Multi-source remote sensing image Pixel-level fusion Featurelevel fusion Decision-level fusion
Classification number :
TP751
DOI:
10.3969/j.jssn.1000-2006.2006.04.020
Document Code:
A
Abstract:
Data fusion is an effective tool to process multi-source remote sensing images. The data fusion framework and configuration comprising of pixels-level, feature-level and decision- level fusions in detail, and their relationships were introduced. The design and implementation methods of data fusion platform were analyzed, and DS evidence theory based and fussy Kolaonen neural network based cluster algorithm as a modi~ied testing method were selected. The result shows that the cluster accuracy and speed of fuzzy Kohonen neural network cluster algorithm is better than that of traditional algorithms.

References

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Last Update: 2013-05-20