Feature extraction using satellite images
Omid Toutian Esfahani
Feature extraction using satellite images.
Rel. Carlo Novara. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2019
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Abstract
Remote Sensing Technology (RST) mainly focuses on the gathering information about the Earth's surface and atmosphere using sensors onboard airborne or space-borne platforms. RST has been widely used in ground mapping, resource regulation, environmental protection, urban planning, geological research, disaster relief and emergency, military reconnaissance, and many other fields. RST has enabled us to have access to a large amount of data at a relatively low cost and it would be feasible to perform computational algorithms on gathered image data to extract useful information. Amongst the applications of RST, object detection plays a key role in detecting and identifying target objects.
Target object detection and identification are usually achieved using a combination of signal and image processing techniques and statistical models
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