Cluster analysis of MOMS-02/D2 data using spectral bands in combination with texture images

Abstract

Data of the Modular Optoelectronic Multispectral Stereo Scanner (MOMS-02) flown aboard Space Shuttle Flight STS-55/D2 provides more detailed spectral information in the VIS/NIR range than operational sensors with broader band design. This verifies the newly designed band centers and widths for spectral and panchromatic modules. ISODATA cluster analysis was applied on atmospheric corrected images to verify cluster separability using the Jefferies-Matusita distance as a quantitative measure. In comparison to operational sensors, MOMS-02 clusters show lesser separation performance which is due to the higher spatial resolution resulting in higher spectral variation. Given a certain cluster distance, MOMS-02 data trends to assign more clusters in principle. Texture images extracted from spectral bands were used to account for the higher spatial resolution. Texture images were generated from the 1st. principal component image using 2nd. order co-occurrence matrices statistics. Cluster analysis of texture images in combination with spectral bands were used to compare cluster separability with complementary data of operational sensors.