: Automatic extraction of features from various data sets such as aerial image or terrestrial images has become an intensive topic to substitute the time-consuming and tedious manual digitizing. Changes in human societies occur with fast pace and they are manifested in various ways. One of the most significant type of changes is urban changes. Among these changes, buildings are the most salient in terms of their significance and complexity. A building is a vital part of the life of a human being as it plays the role of a place of living or work. Automatic building extraction has numerous applications in geographic information system (GIS), cartographic analysis, urban planning,visualization, telecommunication, Surveillance System, Tracking System. We present a system which is able to get the information from the HD satellite images using machine learning technique.
Paper
Full text
Auto Building Extraction from HD Satellite Image using Machine Learning Technique
Semantic Scholar · Computer Science · 2019
Abstract
: Automatic extraction of features from various data sets such as aerial image or terrestrial images has become an intensive topic to substitute the time-consuming and tedious manual digitizing. Changes in human societies occur with fast pace and they are manifested in various ways. One of the most significant type of changes is urban changes. Among these changes, buildings are the most salient in terms of their significance and complexity. A building is a vital part of the life of a human being as it plays the role of a place of living or work. Automatic building extraction has numerous applications in geographic information system (GIS), cartographic analysis, urban planning,visualization, telecommunication, Surveillance System, Tracking System. We present a system which is able to get the information from the HD satellite images using machine learning technique.