Multilook scene classification with spectral imagery

Richard Christopher Olsen; Brandt Tso

doi:10.1117/12.543554

12 August 2004 Multilook scene classification with spectral imagery

Richard Christopher Olsen, Brandt Tso

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.

Citation Download Citation

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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