GEOG 438: Advanced Remote Sensing

Goal Te main goal of this lab is to understand processing and identifying features on hyperspectral images and selected spectral processing basics. Imaging spectrometry , hyperspectral images, and selected spectral processing basics will be performed. FLAASH will be introduced, and used to atmospherically correct a hyperspectral image. Then an introduction in determining the overall state of different vegetation types from their reflectance properties will be done. Methods Basic analysis of spectral processing The first part of this lab introduces basic analysis performed on hyperspectral images. First the image cup95_rd.int is utilized which contains 50 bands(1.99-2.48um) of JPL-calibrated AVIRIS radiance for the Cuprite Mining District in Nevada. First a color image is displayed utilizing bands 183,193,and 207 in that order into the RGB combination. The spectral means of minerals within the area were plotted (Figure 1). Then mean spectra from ROIs was compared to spectral librari...

Goal The goal of this lab is to understand how to perform basic preprocessing and processing of radar images. Specifically noise reduction through speckle filtering, spectral and spatial enhancement, multi-sensor fusion, texture analysis, polarimetric processing, and slant-range to ground-range conversion. When this lab is completed, the basic knowledge of processing on any type of synthetic aperture radar image will be gained. Methods Speckle Supression In this lab radar imagery is analyzed and processed through Erdas Imagine, and ENVI. Noise reduction methods for preprocessing of radar imagery was performed through speckle filtering, edge enhancement and image enhancement. To perform speckle filtering, Radar speckle suppression tool is used. this removes common salt and pepper effect. this is done by utilizing a calculated coefficient of variation (Figure 1). Figure 1: coefficient of variation is 0.274552. This variable is then used to run the Speckle Suppression Functio...