Application Potential and Accuracy Evaluation of CBERS-02B HR and CCD Image Fusion -A Case Study of Land Use Classification in Xixiang County, Shaanxi Province
|更新时间:2025-03-12
|
Application Potential and Accuracy Evaluation of CBERS-02B HR and CCD Image Fusion -A Case Study of Land Use Classification in Xixiang County, Shaanxi Province
Bulletin of Soiland Water ConservationVol. 28, Issue 2, Pages: 160-164(2009)
作者机构:
西北大学城市与资源学系,陕西,西安,710069
作者简介:
基金信息:
DOI:
CLC:
Published:2009
稿件说明:
移动端阅览
LI Jing-zhong, LIU Yong-mei. Application Potential and Accuracy Evaluation of CBERS-02B HR and CCD Image Fusion -A Case Study of Land Use Classification in Xixiang County, Shaanxi Province[J]. Bulletin of Soiland Water Conservation, 2009, 28(2): 160-164.
DOI:
LI Jing-zhong, LIU Yong-mei. Application Potential and Accuracy Evaluation of CBERS-02B HR and CCD Image Fusion -A Case Study of Land Use Classification in Xixiang County, Shaanxi Province[J]. Bulletin of Soiland Water Conservation, 2009, 28(2): 160-164.DOI:
Application Potential and Accuracy Evaluation of CBERS-02B HR and CCD Image Fusion -A Case Study of Land Use Classification in Xixiang County, Shaanxi Province
This paper seek to evaluate the application potential and accuracy evaluation of CBERS-02B high resolution (Pan) data. Taking Xixiang County of Shaanxi Province as a test area,radiometric and color enhancement is performed to HR image; then the HR image was fused with the CCD images based on five algorithms,and image qualities are evaluated between original images and fused images in terms of qualitative and quantitative aspects. Finally
land-use categories were extracted and classification accuracy was evaluated based on the two datasets. The results show that land-use classification accuracy is improved greatly by fusion of 02B high resolution data and CCD data
and Brovey algorithm is best for keeping the spatial textures and spectral characteristics of images among five algorithms. HR image should be applied widely in resources investigations and ecological environment monitoring.