Enhanced automatic detection of human settlements using Sentinel-1 interferometric coherence. Issue 3 (1st February 2018)

• Record Type: Journal Article
• Authors: Corbane, C.; Lemoine, G.; Pesaresi, M.; Kemper, T.; Sabo, F.; Ferri, S.; Syrris, V.
• Is Part Of: International journal of remote sensing. Volume 39:Issue 3(2018)
• Page Start: 842
• Page End: 853
• Publication Date: 2018-02-01
• Subjects: Remote sensing -- Periodicals; Télédétection -- Périodiques; 621.3678
• DOI: 10.1080/01431161.2017.1392642
• Languages: English
• ISSNs: 0143-1161

Abstract

ABSTRACT: This article presents an experiment in which multi-temporal interferometric coherence calculated from 6-days Sentinel-1A and Sentinel-1B image pairs and backscatter intensity σ ° are jointly used for the extraction of built-up areas in the framework of the symbolic machine learning classification. The results obtained with the proposed approach confirm the enhanced capabilities of discriminating built-up areas when using coherence information in comparison to two available global human settlement layers derived: (1) from Landsat optical data and (2) from Sentinel-1 ground range detected data and based on backscatter intensity σ ° only. The experiment carried out in The Netherlands Randstad area is expected to be indicative of the results obtainable for urban areas having similar structures and types of built-up.