This paper presents a methodology of road feature extraction from the different resolutions of RemoteSensing images of Landsat-8 Operational Lander Image (OLI) and ResourceSat-2 of Linear Imaging SelfSensor-3 (LISS-3) and LISS-4 sensors with the spatial resolutions of 15 m, 24 m, and 5 m. In themethodology of road extraction, an index is proposed based on the spectral profile of Roads, also involvingMorphological 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 isnamed Normalized Difference Road Index (NDRI). To enhancement of features from the index, Bot-Hattransforms used. To segment the road features from this image, MRF used. The methodology is performedon the OLI, LISS-3 and LISS-4 images, and presented with results
Road Index, SWIR, NDRI, Bot-Hat transform, Markov Random Fields, LISS-3, OLI
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