Volume : VII, Issue : II, February - 2018
DEVELOPMENT OF ROAD NETWORK MODEL AND ALGORITHM FROM SATELLITE IMAGES FOR HYDERABAD CITY
Dr. Uma Devi Randhi, Dr. K. Santosh Kumar, Dr. M. Anji Reddy
Abstract :
This project deals with the automatic detection of roads in high resolution satellite images. Suggested approach comprises of preprocessing the satellite image via a series of wavelet based filter banks based on frequency response of the corresponding FIR filter. Here we use a two different wavelet bases in order to filter and de noise the satellite image. The resulting two images are fused together in to a single image of same size as the original satellite image using Karhounen–Louve transform (KLT) transform which is based on Principal component analysis (PCA). Then a fuzzy inference algorithm is used to detect roads based on statistical information and on geometry which classifies each pixel as road or non–road with regard to fuzzy inference rules yielding in a binary image. This output is then fed as input to the geographical information system (GIS) for the purpose that are in need.
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DOI : 10.36106/ijsr
Cite This Article:
Dr.Uma Devi Randhi, Dr. K.Santosh Kumar, Dr.M.Anji Reddy, DEVELOPMENT OF ROAD NETWORK MODEL AND ALGORITHM FROM SATELLITE IMAGES FOR HYDERABAD CITY, INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH :
Volume-7 | Issue-2 | February-2018
Number of Downloads : 221
References :
Dr.Uma Devi Randhi, Dr. K.Santosh Kumar, Dr.M.Anji Reddy, DEVELOPMENT OF ROAD NETWORK MODEL AND ALGORITHM FROM SATELLITE IMAGES FOR HYDERABAD CITY, INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH : Volume-7 | Issue-2 | February-2018
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