Informatics Publishing Limited

Arindam Guha ¹, K. Vinod Kumar ¹, E. N. Dhananjaya Rao ², Reshma Parveen ³

Affiliations
1 National Remote Sensing Centre, Balanagar, Hyderabad 500 625, IN
2 Andhra University, Visakhapatnam 530 003, IN
3 Jharkhand Space Application Centre, Ranchi 834 004, IN

Abstract

In the present study, we have attempted the delineation of limestone using different spectral mapping algorithms in ASTER data. Each spectral mapping algorithm derives limestone exposure map independently. Although these spectral maps are broadly similar to each other, they are also different at places in terms of spatial disposition of limestone pixels. Therefore, an attempt is made to integrate the results of these spectral maps to derive an integrated map using minimum noise fraction (MNF) method. The first MNF image is the result of two cascaded principal component methods suitable for preserving complementary information derived from each spectral map. While implementing MNF, noise or non-coherent pixels occurring within a homogeneous patch of limestone are removed first using shift difference method, before attempting principal component analysis on input spectral maps for deriving composite spectral map of limestone exposures. The limestone exposure map is further validated based on spectral data and ancillary geological data.

Keywords

Limestone, Minimum Noise Fraction, Spectral Mapping, Image Processing.

Full Text