An atmospheric correction algorithm for hyperspectral imagery of lake water by Chinese satellite HJ-1A

This paper demonstrates the Ruddick´s algorithm to utilize atmospheric correction with the hyper-spectral imagery over Chinese turbid lake water obtained by China first hyperspectral imager (HSI) onboard HJ-1A. The paper studies on the sensor characteristics and analyzes the optical properties of turbid lake water in Taihu Lake. Based on consideration about real circumstances, the paper recalibrates parameter^α of value taken as 1.43. Results indicate that the recalibrated parameter could enhance the algorithm performance and improve the accuracy through comparison with the in situ measurements.