The effect of morphological smoothening by reconstruction on the extraction of peaks and pits from digital elevation models

Authors:
Dinesh Sathyamoorthy
Affiliations:
Science and Technology Research Institute for Defence (STRIDE), Bahagian Teknologi Maritim, D/A KD Malaya, Pangkalan TLDM, 32100 Lumut, Perak, Malaysia
Venue:
Pattern Recognition Letters
Year:
2007

Citing 5
Cited 1

Automated basin delineation from digital elevation models using mathematical morphology

Signal Processing
Skeletonizing a DEM into a drainage network

Computers & Geosciences
Morphological Image Analysis: Principles and Applications

Morphological Image Analysis: Principles and Applications
Image Analysis and Mathematical Morphology

Image Analysis and Mathematical Morphology
Morphological grayscale reconstruction in image analysis: applications and efficient algorithms

IEEE Transactions on Image Processing

Computing uncertainty of physiographic features extracted from multiscale digital elevation models

Computers & Geosciences

Quantified Score

Hi-index	0.10

Visualization

Abstract

In this paper, the effect of morphological smoothening by reconstruction on the extraction of peaks and pits from digital elevation models (DEMs) is studied. First, a mathematical morphological based algorithm to extract peaks and pits from DEMs is developed. Morphological smoothening by reconstruction is then implemented on the DEM of Great Basin using kernels of different sizes. The number of peaks and pits extracted from the resultant DEMs is computed using connected component labeling and the results are compared. This work is aimed at studying the capabilities of morphological smoothening by reconstruction in the modeling of objects and processes operating within an environment.