RUSSIAN JOURNAL OF EARTH SCIENCES, VOL. 21, ES3006, doi:10.2205/2021ES000772, 2021
S. Lenin Kumar Reddy, C. V. Rao, P. Rajesh Kumar
This paper presents a methodology of road feature extraction from the different resolutions of Remote Sensing images of Landsat-8 Operational Lander Image (OLI) and ResourceSat-2 of Linear Imaging Self Sensor-3 (LISS-3) and LISS-4 sensors with the spatial resolutions of 15 m, 24 m, and 5 m. In the methodology of road extraction, an index is proposed based on the spectral profile of Roads, also involving Morphological transform (Top-Hat or Bot-Hat) and Markov Random Fields (MRF). In the proposed index, Short Wave Infrared (SWIR) band has a significant role in the detection of roads from sensors, and it is named Normalized Difference Road Index (NDRI). To enhancement of features from the index, Bot-Hat transforms used. To segment the road features from this image, MRF used. The methodology is performed on the OLI, LISS-3 and LISS-4 images, and presented with results.
Received 10 July 2020; accepted 2 June 2021; published 4 July 2021.
Citation: S. Lenin Kumar Reddy, C. V. Rao, P. Rajesh Kumar (2021), Road Feature Extraction from LANDSAT-8 and ResourceSat-2 Images, Russ. J. Earth Sci., 21, ES3006, doi:10.2205/2021ES000772.
Copyright 2021 by the Geophysical Center RAS.