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Utilizing the Significant Spectral Bands for Image Outputs for SAV from the Water Effect Correction Module

A water effect correction algorithm was developed by our research team in order to correct/remove water effects for improved detection of SAV (Submerged Aquatic Vegetation) from remotely sensed hyperspectral data. The algorithm was implemented in IDL (Interactive Data Language) and incorporated to ENVI as user-defined module. This paper specifically explains the two different methods in presenting outputs from the module: spectral profiles of selected pixels and two-dimensional images on the significant spectral bands. These significant bands were identified and further verified with a series of PCA (Principal Component Analysis) and a subsequent clustering process, and utilized for presenting output images and spectral profiles within the correction module.