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基于奇异值分解的中国资源一号02C卫星数据的融合评价及应用(PDF/HTML)

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

Issue:
2015年03期
Page:
29-33
Column:
专题报道
publishdate:
2015-05-30

Article Info:/Info

Title:
Evaluation based on singular value decomposition and application of fusion methods with ZY-1-02C data
Article ID:
1000-2006(2015)03-0029-05
Author(s):
GAO Yuanyun12WEN Xiaorong12LIN Guozhong12 SHE Guanghui12*WANG Kai12
1. College of Forestry, Nanjing Forestry University, Nanjing 210037, China;
2. Co-Innovation Center for the Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
Keywords:
image fusion singular value decomposition(SVD) accuracy assessment of classification ZY-1-02C satellite
Classification number :
S757.2
DOI:
10.3969/j.issn.1000-2006.2015.03.006
Document Code:
A
Abstract:
In this paper, the method of image fusion was used to enhance the application of forest resources monitoring with the ZY-1-02C satellite data. After registration and correction of the multispectral and panchromatic images of Zhejiang Longquan District, seven fusion methods were used including Brovey, Gram-Schmidt, HPF, HSV, IHS, principle component and wavelet transform. By qualitative and quantitative analysis of singular value decomposition(SVD), HSV,IHS and HPF transform are better than other ways. Through the accuracy assessment methods of classification to further validate HPF transform is better and so is the maximum likelihood classification. The studies to explore the use of ZY-1-02C satellite data in the application of forest resources monitoring has the positive significance, also can further improve the efficiency of the satellite data processing, so as to provide basis and reference.

References

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Last Update: 2015-05-30