Date of Publication :14th March 2019

Abstract: This paper aims to provide a review of automatic building extraction techniques from remote sensing images. The building extraction technique is used for detecting and separating buildings from other land cover classes. In the past few years, researchers have proposed a number of building extraction methods. This paper commonly divides these methods into four main categories: template matching-based methods, knowledge-based methods, OBIA-based methods, and machine learning-based methods and provide a detailed survey of these methods. This paper also discusses the challenges and demerits of these methods to give a clear idea about these existing approaches. So this survey will be beneficial for the researchers to have a better understanding of this building extraction field.

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