An atmospheric correction algorithm for hyperspectral imagery of lake water by Chinese satellite HJ-1A
- Resource Type
- Conference
- Authors
- Xua, Hua; Gu, Xingfa; Yin, Qiu; Li, Li; Chen, Zhenhua; Ren, Yuhuan; Hou, Weizhen; Liu, Jia; Yin, Pengfei
- Source
- 2010 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International. :2259-2262 Jul, 2010
- Subject
- Geoscience
Signal Processing and Analysis
Power, Energy and Industry Applications
Components, Circuits, Devices and Systems
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Aerosols
Lakes
Reflectivity
Image color analysis
Pixel
Atmospheric modeling
Sea measurements
Atmospheric correction
water color
turbid water
hyperspectral imager
HSI
HJ-1A
- Language
- ISSN
- 2153-6996
2153-7003
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.