Detection of Informal Settlements from VHR Images Using Convolutional Neural Networks

• Published in: Remote sensing (Basel, Switzerland) Vol. 9; no. 11; p. 1106
• Main Authors: Mboga, Nicholus, Persello, Claudio, Bergado, John, Stein, Alfred
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2017
• Subjects: Artificial neural networks; Classification; convolutional neural networks; Decision making; deep learning; Feature extraction; Image acquisition; Image classification; Image detection; Image resolution; informal settlements; Land use; Mathematical analysis; Matrix methods; Neural networks; Resource allocation; Satellite imagery; Sensitivity analysis; Spatial data; Spatial discrimination learning; Support vector machines; Training; Urban areas; very high resolution satellite imagery

Information about the location and extent of informal settlements is necessary to guide decision making and resource allocation for their upgrading. Very high resolution (VHR) satellite images can provide this useful information, however, different urban settlement types are hard to be automatically...