A Review of House Detection from High Resolution Satellite Images

Abstract

Detecting houses through high-resolution satellite images has received increasing attention in recent years and is considered a basic but difficult task in the field of remote sensing. Although, there are many methods that have been developed in this field, there is still a need for an in-depth review of recent articles about Extracting buildings and houses from high-resolution satellite images. This study aims to provide a comprehensive review of articles published in the scientific literature including developments that have occurred in recent years in this field. The topic of house detection is a popular, widespread and rapidly emerging research topic in domain of remote sensing. Because its importance in many fields, including drawing and updating urban maps, monitoring change, detecting damage resulting from environmental disasters, land use analysis, population estimation, and other applications. In addition to Availability of high-resolution images produced by the new generation to satellites. Topics of automatic detection of houses, object-based approaches, machine learning, and deep learning through high-resolution RGB images.

Keywords

• remote sensing
• house detection
• building extraction
• machine learning
• deep learning