Extracting Dwellings in Refugee Camps Using Multifractal Analysis and Mathematical Morphology Based Descriptors

IF 4.7 2区地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Pub Date : 2025-03-26 DOI:10.1109/JSTARS.2025.3546403

Małgorzata Jenerowicz-Sanikowska;Anna Wawrzaszek

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引用次数: 0

Abstract

This article presents an automatic procedure for detecting and counting dwellings in refugee/internally displaced persons camps. Very high resolution (VHR) satellite images are used to monitor camps, especially in inaccessible to “in-situ” measures areas. We develop a new algorithm to analyze these images, with the aim of improving detection accuracy and computing performance. The algorithm is based on local multifractal analysis and mathematical morphology, two methods that are becoming increasingly popular in the image analysis community. Our procedure translates the visual characterization of the desired structures into a morphological image processing chain. However, morphological filtering is not performed on the original image per se, but on the image expressed by the Hölder exponent. Proposed method is applied to a set of VHR satellite images (GeoEye-1, WorldView-2, -3, -4 and JL-1GF02A) of two camps in Africa. Our technique is compared with results obtained by visual interpretation. The correlation coefficient between the two methods is 0.98, with an omission error of 7.98% and a commission error of 4.54%.

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来源期刊

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 地学-成像科学与照相技术

CiteScore

9.30

自引率

10.90%

发文量

563

审稿时长

4.7 months

期刊介绍： The IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering, that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.