ASPRS

PE&RS July 2004

VOLUME 70, NUMBER 7
PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
JOURNAL OF THE AMERICAN SOCIETY FOR PHOTOGRAMMETRY AND REMOTE SENSING

PE&RS July 2004Cover Image

Baseball is in full swing in July and this month’s cover is a digital aerial image of Coors Field and surrounding area in Denver, Colorado. The pan-sharpened natural color image was captured by the Sanborn Mapping Company using their Vexcel UltraCam™ Digital Aerial Camera (inset) at a flying height of 1300 meters and a pixel size (GSD) of 12.5 centimeters.UltraCam imagery has a panchromatic resolution of 11,500 x 7,500 pixels in addition to four color channels (red, green, blue and near-infrared). Imagery is collected at better than 12 bits per channel and at up to one frame per second. The camera outperforms conventional film cameras by collecting imagery that is clear of film grain noise,and at a range of mapping scales and applications: from large-scale urban mapping where extremely high overlap is possible, to large-area coverage where the UltraCam’s rapid imaging and multispectral features allow generation of innovative products and services.The UltraCam is in use by Sanborn for its customers. Beyond conventional mapping uses, the increased range of applications such as fire risk assessment, forest management and land cover immediately provide more value for Sanborn’s current and future customers.For more information, visit http://www.vexcel.com/products/ultracam.html

Columns & Updates
765 Direct Georeferencing — Artificial Neural Networks in Direct Georeferencing: Performance Analysis
773 Grids & Datums — Commonwealth of the Bahamas
775 ISPRS National Report
779 Headquarters News — ASPRS Conference HugeSuccess and Fairchild and SAIC/Estes MemorialTeaching Awards
783 In Memoriam — Dr. Janette C. Gervin and Mehdi Azali
785 Industry News

Peer-Reviewed Articles

793 Methodology For Hyperspectral Band Selection
Peter Bajcsy and Peter Groves

A new methodology for combining unsupervised andsupervised methods under classification accuracy and computational requirement constraints that is de-signed to perform hyperspectral band (wavelengthrange) selection and statistical modeling method selection.

803 Wavelets for Urban Spatial Feature Discrimination: Comparisons with Fractal, Spatial Autocorrelation, and Spatial Co-occurrence Approaches
Soe Win Myint, Nina Lam, and John M. Tyler

A comparison and evaluation of the effectiveness ofthe wavelet approaches in discriminating urban features is presented using two different fractal approaches, spatial auto correlation, and spatial co-occurrence matrix of selected urban classes were using high-resolution ATLAS imagery.

813 A Comparison of AVIRIS and Landsat for Land Use Classification at the Urban Fringe
Rutherford V. Platt and Alexander F.H. Goetz

Due to its greater number of spectral bands, AVIRIS imagery provides a statistically significant advantage over synthetic Landsat data for land use classification of a location on the urban fringe of Colorado.

821 A SPLIT Model for Extraction of Subpixel Impervious Surface Information
Yeqiao Wang and Kevin Zhang

A Subpixel Proportional Landcover Information Transformation (SPLIT) model was developed to extract proportions of subpixel impervious surface and other types of land covers using airborne digital multispectral videography and Landsat TM data.

829 Development of a 2001 National Landcover Database for the United States
Collin Homer, Chengquan Huang, Limin Yang, BruceWylie, and Michael Coan

This database provides independent layers of imagery, ancillary data, land cover, imperviousness, and tree canopy for all 50 U.S. States, classified, using decision tree methodology.

841 Determination of Burnt Scars Using LogisticRegression and Neural Network Techniquesfrom a Single Post-Fire Landsat-7 ETM+ Image
Ruiliang Pu and Peng Gong

Estimated probabilities of presence/absence (p/a) using logistic regression (LR) and artificial neural net-work (NN) produced a similar and acceptable prediction accuracy of p/a of burned scars; however, LR is more efficient than NN in predicting burned areas.

851 Mobile GIS and Speech Recognition
Andrew Hunter and Naser El-Sheimy

Investigation of the use of speech recognition fordatabase population in a Mobile GIS environment.

Announcements
812 Call for Papers — PE&RS Special Issue on Mapping Mars

Departments
779 Region of the Month
783 New Member List
789 Who’s Who in ASPRS
790 Sustaining Members
792 Advertiser Index
820 Instructions to Authors
861 Forthcoming Articles
862 Calendar
863 Classifieds
864 Bookstore
868 Professional Directory
871 Membership Application
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