ZHAI Liang, TANG Xinming, LI Lin, HONG Zhigang. A New Quality Assessment Index for Compressed RS Image[J]. Geomatics and Information Science of Wuhan University, 2007, 32(10): 872-875.
Citation:
ZHAI Liang, TANG Xinming, LI Lin, HONG Zhigang. A New Quality Assessment Index for Compressed RS Image[J]. Geomatics and Information Science of Wuhan University, 2007, 32(10): 872-875.
ZHAI Liang, TANG Xinming, LI Lin, HONG Zhigang. A New Quality Assessment Index for Compressed RS Image[J]. Geomatics and Information Science of Wuhan University, 2007, 32(10): 872-875.
Citation:
ZHAI Liang, TANG Xinming, LI Lin, HONG Zhigang. A New Quality Assessment Index for Compressed RS Image[J]. Geomatics and Information Science of Wuhan University, 2007, 32(10): 872-875.
1 Chinese Academy of Surveying and Mapping , 16 Beitaiping Road , Haidian District, Beijing 100039, China2 School of Resource and Environment Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
Quality assessment for remote sensing image compression is of great significance in many practical applications. A muti-dimensional structure model is designed for image compression assessment, which consists of gray character distortion dimension, texture distortion dimension, loss of correlation dimension. Based on this model, a new index-Q is proposed and validated through a series of experiments. The experiments show that Q has a better consistency with subjective assessment results than conventional PSNR.
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