Multilook scene classification with spectral imagery

Richard Christopher Olsen; Brandt Tso

doi:10.1117/12.543554

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12 August 2004 Multilook scene classification with spectral imagery

Richard Christopher Olsen, Brandt Tso

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Proceedings Volume 5425, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X; (2004) https://doi.org/10.1117/12.543554
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

Scene classification using multiple views for an urban/rural scene was studied. Visible/Near Infrared (VNIR) imagery was acquired over Fresno, Ca, on July 13, 2003 using the 4-color Quickbird multi-spectral imager. Four scenes were acquired at view angles of +60, nadir, -45, and -60 degrees on a descending pass. Bi-directional reflectance function (BDRF) effects were present. Analysis was conducted at 10-meter spatial resolution. Variations in reflectance with view angle aided in the extraction of surface characteristics, and allowed for improved classification accuracy.

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Richard Christopher Olsen and Brandt Tso "Multilook scene classification with spectral imagery", Proc. SPIE 5425, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X, (12 August 2004); https://doi.org/10.1117/12.543554

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