Extracting Buildings from Satellite Images Using Feature Extraction Methods

  • Jeberson Retna RajEmail author
  • Senduru Srinivasulu
Conference paper
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 3)


Extracting buildings in a satellite image is of paramount important for urban planning, detecting changes of landscape and analysis. Extracting building in the satellite image is complex as its micro features are difficult to infer on the image. Feature extraction techniques readily available to extract the built up areas. In this paper, the five feature extraction techniques which include edge detection, grey scale morphological operation, haralick texture extraction, morphological classification and local statistics methods are introduced and compared. The satellite image is registered and geometric correction has performed for further processing. The image is applied with filtering algorithm to remove noises and then these five feature extraction algorithms are applied with the image. The results are more promising and the buildings are extracted from the test images.


Satellite images Texture extraction Segmentation Edge extraction 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Information TechnologySathyabama Institute of Science and TechnologyChennaiIndia

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