A Theoretical Analysis of Granulometry-based Roughness Measures on Cartosat DEMs

TL;DR

This paper provides a theoretical analysis of granulometry-based roughness measures on Cartosat DEMs, specifically the multiscale directional granulometric index (MDGI), to understand their invariance properties and relation to physical features of river sub-basins.

Contribution

It offers the first theoretical characterization of MDGI roughness measures, establishing conditions for invariance and linking them to DEM volume derivatives.

Findings

MDGI invariance conditions characterized

Connections established between MDGI and DEM volume derivatives

Experimental validation on river sub-basin data

Abstract

The study of water bodies such as rivers is an important problem in the remote sensing community. A meaningful set of quantitative features reflecting the geophysical properties help us better understand the formation and evolution of rivers. Typically, river sub-basins are analysed using Cartosat Digital Elevation Models (DEMs), obtained at regular time epochs. One of the useful geophysical features of a river sub-basin is that of a roughness measure on DEMs. However, to the best of our knowledge, there is not much literature available on theoretical analysis of roughness measures. In this article, we revisit the roughness measure on DEM data adapted from multiscale granulometries in mathematical morphology, namely multiscale directional granulometric index (MDGI). This measure was classically used to obtain shape-size analysis in greyscale images. In earlier works, MDGIs were introduced to capture the characteristic surficial roughness of a river sub-basin along specific directions. Also, MDGIs can be efficiently computed and are known to be useful features for classification of river sub-basins. In this article, we provide a theoretical analysis of a MDGI. In particular, we characterize non-trivial sufficient conditions on the structure of DEMs under which MDGIs are invariant. These properties are illustrated with some fictitious DEMs. We also provide connections to a discrete derivative of volume of a DEM. Based on these connections, we provide intuition as to why a MDGI is considered a roughness measure. Further, we experimentally illustrate on Lower-Indus, Wardha, and Barmer river sub-basins that the proposed features capture the characteristics of the river sub-basin.