Comparative analysis of Edge Detection techniques for SAR images

Bachofer, Felix; Quénéhervé, Geraldine; Zwiener, Thimm; Maerker, Michael; Hochschild, Volker

doi:10.5721/eujrs20164912

Cited by 17 publications

(9 citation statements)

References 45 publications

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“…The OBIA approach groups neighbouring pixels with similar spectral or thematic values into image segments with spectral, geometric and thematic properties (Benz, Hofmann, Willhauck, Lingenfelder, & Heynen, 2004). To improve the segmentation result for build-up structures, a Canny edge operator was applied to the Pléiades scene and included in the segmentation process (Bachofer, Quénéhervé, Zwiener et al, 2016;Canny, 1986). For the resulting segments, a complex ruleset was developed, which is based on spectral and height values, geometrical features, as well as spatial relationships between image objects.…”

Section: Derivation Of Surface Heights and Built-up Areasmentioning

confidence: 99%

DSM-based identification of changes in highly dynamic urban agglomerations

Warth

Braun

Bödinger

et al. 2019

European Journal of Remote Sensing

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Rapidly urbanizing areas are challenged by a lack of information on urban growth in many parts of the earth. As the speed of building construction often exceeds traditional surveying methods, remote sensing can serve as a valuable input for the monitoring of urbanization processes. This study investigates changes in DaNang, Vietnam, between 2015 and 2017 identified based on photogrammetric analysis of surface elevations retrieved from Pléiades very high-resolution imagery. In contrast to traditional post-classification change detection approaches, we propose a time-efficient method solely based on digital surface model differencing to identify newly constructed buildings as well as demolitions. It is therefore easy to apply and suitable for the continuation of outdated base data available to local authorities. High importance is addressed to the vertical matching of both surface models to avoid misdetections. After differencing these surface elevations, thresholds based on field measurements are applied to identify areas of change. A total of 10,800 changes were detected between 2015 and 2017, of which 8,531 were to newly constructed buildings. The study proves that changes in rapidly urbanizing agglomerations can be reliably identified by a simple and transparent approach by using elevation changes and expert-based knowledge on floor numbers and building heights. ARTICLE HISTORY

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Section: Derivation Of Surface Heights and Built-up Areasmentioning

confidence: 99%

DSM-based identification of changes in highly dynamic urban agglomerations

Warth

Braun

Bödinger

et al. 2019

European Journal of Remote Sensing

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“…The edge detection consists of extracting the 1-pixel continuous coastline using an edge detector algorithm applied to the binary image. In this study, the optimal Canny edge detector, which is based on a 2-D Gaussian kernel that allows emphasizing edges, is used [29].…”

Section: Methodsmentioning

confidence: 99%

On the Use of Multipolarization Satellite SAR Data for Coastline Extraction in Harsh Coastal Environments: The Case of Solway Firth

Ferrentino

Buono

Nunziata

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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This study deals with coastline extraction using multi-polarization spaceborne Synthetic Aperture Radar (SAR) imagery acquired over coastal intertidal areas. The latter are very challenging environments where mud flats lead to a large variability of normalized radar cross section (NRCS), which may trigger a significant number of false edges during the extraction process. The performance of SAR-based coastline extraction methods that rely on a joint combination of multi-polarization information (either single-or dual-polarization metrics) and speckle filtering (either local and non-local approaches) are analyzed using Global Pointing System (GPS) samples and collocated SAR imagery collected under different incidence angles. Our test site is an intertidal zone with a wetland (i. e., salt marsh) in the Solway Firth, southwest along the Scottish-English border. Experimental results, obtained processing a pair of RadarSAT-2 full-polarimetric and a pair of Sentinel-1 dual-polarimetric SAR imagery augmented by co-located GPS samples, show that: a) the multi-polarization information outperforms the singlepolarization counterpart in terms of extraction accuracy; b) among the single-polarization channels, the cross-polarized one performs best; c) both single-and dual-polarization methods perform better when non-local speckle filtering is applied; d) the joint combination of non-local speckle filter and dual-polarization information provides the best accuracy; e) the incidence angle plays a role in the extraction accuracy with larger incidence angles resulting in the best performance when dual-polarization metric is used.

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“…In this bottom-up approach, region merging is applied starting from pixel level. The segmentation process was enhanced by an edge layer, derived with the Canny edge operator [12,13]. The resulting image segments were classified with a rule-based approach.…”

Section: Building Typologymentioning

confidence: 99%

Building Stock and Building Typology of Kigali, Rwanda

Bachofer

Braun

Adamietz

et al. 2019

Data

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This study uses very high-resolution Pléiades imagery for the densely built-up central part of the City of Kigali for the year 2015 in order to derive urban morphology data on building footprints, building archetypes and building heights. Aerial images of the study area from 2008–2009 were used in combination with the 2015 dataset to create a change monitoring dataset on a single building basis. A semi-automated approach was chosen which combined an object-based image analysis with an expert-based revision. The result is a geospatial dataset that detects 165,625 buildings for 2008–2009 and 211,458 for 2015. The dataset includes information on the type of changes between the two dates. Analysis of this geospatial dataset can be used for a range of research applications in economics and the social sciences, as well as a range of policy applications in urban planning and municipal finance administration.

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Comparative analysis of Edge Detection techniques for SAR images

Cited by 17 publications

References 45 publications

DSM-based identification of changes in highly dynamic urban agglomerations

DSM-based identification of changes in highly dynamic urban agglomerations

On the Use of Multipolarization Satellite SAR Data for Coastline Extraction in Harsh Coastal Environments: The Case of Solway Firth

Building Stock and Building Typology of Kigali, Rwanda

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