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中巴地球资源一号卫星多光谱扫描图象质量评价
引用本文:张霞,张兵,赵永超,童庆禧,郑兰芬. 中巴地球资源一号卫星多光谱扫描图象质量评价[J]. 中国图象图形学报, 2002, 7(6): 581-586
作者姓名:张霞  张兵  赵永超  童庆禧  郑兰芬
作者单位:中国科学院遥感应用研究所 北京100101(张霞,张兵,赵永超,童庆禧),中国科学院遥感应用研究所 北京100101(郑兰芬)
基金项目:中国科学院知识创新项目 (KZCX2 - 3 12 )
摘    要:基于中国资源卫星应用中心提供的中巴地球资源一号卫星红外多光谱扫描仪(IRMSS)4个波段零级图象数据,首先综合运用各种有效方法进行了图象预处理(包括错位纠正、辐射校正、去噪声、清晰化、几何精校正等),然后在此基础上选择图象信噪比、地面分解力、清晰度、辐射精度、反差等5个指标对图象进行了全面的质量评价。研究分析表明,中巴地球资源一号卫生IRMSS图象某些波段的清晰度和反差稍好于TM,但在图象信噪比、地面分解力、清晰度等方面与TM相比尚有差距;通过图象灰度平衡、清晰化和数据融合等处理,中巴地球资源一号卫生IRMSS数据仍有很大的图象改善空间,并在国土资源调查、城市规划等诸多领域有着广阔的应用前景。

关 键 词:多光谱扫描图象 质量评价 中巴地球资源一号卫星 IRMSS 地面分解力 清晰度 信噪比 反差 辐射精度 遥感图像
文章编号:1006-8961(2002)06-0581-06
修稿时间:2001-06-18

Image Quality Assessment for the Infrared Multi-Spectral Scanner of the Chinese-Brazil Earth Resources Satellite
ZHANG Xi,ZHANG Bing,ZHAO Yong-chao,TONG Qing-xi and ZHENG Lan-fen. Image Quality Assessment for the Infrared Multi-Spectral Scanner of the Chinese-Brazil Earth Resources Satellite[J]. Journal of Image and Graphics, 2002, 7(6): 581-586
Authors:ZHANG Xi  ZHANG Bing  ZHAO Yong-chao  TONG Qing-xi  ZHENG Lan-fen
Abstract:Engineering analyses to assess image data quality are described and results are presented for the infrared multispectral scanner(IRMSS) of No.1 Chinese-Brazil Earth Resources Satellite (CBERS-1), which was launched on October 14, 1999. Data from CBERS-1 IRMSS and Thematic Map are compared. Based on the zero-level image acquired by CBARS-1 IRMSS on March 23, 2000, pre-processing was carried out, including radiation correction, noise cleanness, etc. Then a comprehensive assessment was conducted by five criterions such as signal/noise ratio (SNR), spatial resolution, contrast, radiometric precision and clarity. In comparison with TM. Bands 8 and 9 of CBERS-IRMSS had better clarity, Bands 6 and 7 had better contrast, Band 8 had better radiance precision. However, TM was found to produce image with much better SNR and spatial resolution. In addition, by image enhancement processing such as data fusion, the image quality can be improved greatly, and will be widely used in many fields such as resource survey and city plan.
Keywords:CBERS-1   IRMSS   Spatial resolution   Clarity   SNR   Contrast   Radiometric precision
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