Proceedings of the Symposium on Global and Environmental Monitoring: Proceedings of the Symposium on Global and Environmental Monitoring

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Persistent identifier:: 856665355

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts ; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856665355

Language:: English

Document type:: Multivolume work

Volume

Persistent identifier:: 856669164

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Scope:: XIV, 912 Seiten

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856669164

Illustration:: Illustrationen, Diagramme, Karten

Signature of the source:: ZS 312(28,7,1)

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: International Society for Photogrammetry and Remote Sensing, Commission of Photographic and Remote Sensing Data

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [WA-1 KNOWLEDGE-BASED TECHNIQUES/ SYSTEMS FOR DATA FUSION]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: Information Fusion in Cartographic Feature Extraction from Aerial Imagery. David M. McKeown, Frederic P. Perlant, Jefferey Shufelt

Document type:: Multivolume work

Structure type:: Chapter

141 2 Fusion in Monocular Scene Analysis Systems Our work in man-made feature extraction from monocular views of a scene has used both edge-line intensity based techniques as well as shadow-analysis based techniques. BABE utilizes intensity edges to form comers, which then undergo structural analysis in order to generate plausible building hypotheses. These hypotheses are then evaluated in terms of size and line intensity constraints 3,4 . Figure 1 shows a typical BABE result for a suburban area in Washington, D.C. SHADE is a building detection system based on a shadow analysis technique. SHADE utilizes a shadow intensity estimate generated by BABE to produce shadow regions, which are analyzed to locate shadow/building edges. These noisy edges are then smoothed and broken at corners by using an imperfect sequence finder 9 . The line segments that form nearly right-angled corners are joined, and the comers that are concave with respect to the sun are extended into parallelograms. Figure 2 shows a typical SHADE result. SHAVE is a system for verification of building hypotheses that examines the relationships between these hypotheses and the shadow regions in an image to rank the quality of these building hypotheses. SHAVE determines which segments of each building could cast shadows. Intensity walks are then performed for each pixel of these segments to delineate the cast shadows. Each segment is then scored based on the variance of shadow length along each segment. These scores can then be used to estimate the likelihood that a building hypothesis corresponds to a building, based on the extent to which it casts shadows. Figure 3 shows a typical SHAVE result. GROUPER is a system that utilizes shadows to cluster fragmented building hypotheses. GROUPER extends the shadow/building edges produced by SHADE along the sun illumination angle to form closed regions of interest in which man-made structures might occur. GROUPER intersects each building hypothesis with these regions of interest. Hypotheses that have sufficient areas of overlap with regions of interest are grouped together to form a composite building cluster. Figure 1: DC38008 industrial scene (smoothed) Figure 2: Histogram-splitting segmentation Figure 3: Refined S2 disparity map Figure 4: Extracted building regions

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fullscreen: Proceedings of the Symposium on Global and Environmental Monitoring (Part 1)

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