Image pre-processing should be performed in advance of every analysis and therefore there are numerous image pre-processing methods developed for hyperspectral satellite data. Hyperspectral imaging provides abundant information with which the characteristics of objects in a scene can be studied. The present study is to use the hyperspectral data in the Palakkad district to do the pre-processing methods in ERDAS IMAGINE 9.2. This study describes about the pre-processing methods of hyperspectral images, the first step is to correct the image radiometrically and geometrically, and then use the corrected image for doing the subset, denoising in ERDAS IMAGINE 9.2 and the last step is atmospheric correction, which is one of the most important correction method. The preprocessing steps are done for reducing the adverse effects of absorption and scattering due to the atmospheric agents and those that alters the real radiance value that should appear at the sensor. This paper analyzes the image pre-processing steps for improving the quality of a hyper spectral image for doing the future works. © Research India Publications.
P. Kavitha and Dr. Geetha Srikanth, “Hyperspectral satellite data (EO1-Hyperion) preprocessing: A case study of paddy field in Palakkad”, International Journal of Applied Engineering Research, vol. 10, no. 20, pp. 19256-19259, 2015.