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- Title
An index based road feature extraction from LANDSAT-8 OLI images.
- Authors
Kumar Reddy, Sama Lenin; Rao, C. V.; Kumar, P. Rajesh; Anjaneyulu, R. V. G.; Krishna, B. Gopala
- Abstract
Road feature extraction from the remote sensing images is an arduous task and has a significant role in various applications of urban planning, updating the maps, traffic management, etc. In this paper, a new band combination (8652) to form a road index (RJ) from OLI multispectral bands based on the spectral reflectance of asphalt, is presented for road feature extraction. The 8652 is converted to road index by normalization. The morphological operators (Top-hat or Bottom-hat) uses on RI to enhance the roads. To sharpen the edges and for better discrimination of features, shock square tilter (SSF), is proposed. Then, an iterative adaptive threshold (lAT) based online search with variational min-max and markov random fields (MRF) model are used on the SSF image to segment the roads and non-roads. The roads are extracting by using the rules based on the connected component analysis. IAT and MRF model segmentation methods prove the proposed index (RJ) able to extract road features productively. The proposed methodology is a combination of saturation based adaptive thresholding and morphology (SATM), and saturation based MRF (SMRF), applied to OLI images of several urban cities of India, producing the satisfactory results. The experimental results with the quantitative analysis presented in the paper.
- Subjects
INDIA; THRESHOLDING algorithms; REMOTE-sensing images; FEATURE extraction; MARKOV random fields; SPECTRAL reflectance; URBAN planning
- Publication
International Journal of Electrical & Computer Engineering (2088-8708), 2021, Vol 11, Issue 2, p1319
- ISSN
2088-8708
- Publication type
Article
- DOI
10.11591/ijece.v11i2.pp1319-1336