IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2008 · 111 citations · 20 references
HumanitiesGeographyGeoinformaticsGeographic Information SystemsRemote SensingSpatial AnalysisRadar Signal ProcessingSettlement Pattern AnalysisSettlement PatternsSpatial Organization Of SettlementsIndexesInformal Settlement DetectionLocal Spatial AutocorrelationMorphological AutocorrelationMorphological Image ProcessingSar InterpretationSettlement MappingSynthetic Aperture Radar Image Analysis
In this paper, a novel procedure for extracting human settlement extent in high-resolution SAR images, based on local autocorrelation and morphological processing, is presented. The algorithm is based on two steps. Hints for human settlements by information fusion based on local indexes of spatial autocorrelation are the outputs of the first step. A morphological chain builds on top of them the final settlements' borders. Examples from very different areas, i.e., the Darfur region in Sudan and the Lombardy region in Italy, stress the robustness of the procedure as well as its effectiveness.
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