HJ-1A HSI image data quality evaluation and application potential for features recognition

Abstract

Using the HJ-1A HSI hyperspectral image of China and combining the methods of quality evaluation, the paper not only evaluate the data quality of radiometric precision, signal-to-noise, contrast, entropy and spectral feature fitting (SFF), but also study the ability of the features recognition, taking Wuhan region as the example. From the experiment results, we can know: 1) It's unusual from the band 1 to the band 11, and the other bands are well. 2) The ability of the features recognition is good, as the precision more than 85%. 3) The application such as agriculture, forestry, land classification, monitoring will be more effective depended on this.