PE&RS June 2004

Cover Image
The image of this month’s Journal cover is a mosaic of an original QuickBird 2.4 m natural color multispectral image (left), a 0.6 m panchromatic image (top), an automatically fused natural color image (center right), and a color image of a color-enhanced fusion (bottom). The image shows the Opera House area of Sydney, Australia, and a part of downtown Sydney.

The PCI® PANSHARP module, based on the image fusion algorithms developed by Dr. Y. Zhang, the University of New Brunswick, Canada, was applied to the image fusion (center right). It can be clearly seen that the image fusion achieved optimum results with minimized color distortion, maximized detail, and improved natural color and feature integration (compare left, top, and center right). An initial automatic technique for color-enhanced image fusion has also been developed by Dr. Zhang, which makes the fused image appear more natural and more beautiful for ordinary visualization purposes (bottom). Trees and lawns in densely built-up areas stand out clearly from buildings (compare trees in bottom and in center left). For more information, visit http://www.pcigeomatics.com/product_ind/ pansharpening.html and read this issue’s highlight article: Understanding Image Fusion (page 657).

Highlight Article

657 Understanding Image Fusion (Adobe Acrobat 754kb)
Yun Zhang

Columns & Updates

663 Direct Georeferencing — On the Improved Gravity Compensation in Inertial Navigation (Adobe Acrobat 154kb)
667 Grids & Datums — Ukraine
669 Software Review — IDRISI Kilimanjaro
675 Headquarters News — Craun Elected ASPRS VP (Adobe Acrobat 160kb)
677 In Memoriam — Merle Peter Meyer
679 Industry News

Peer Reviewed Articles (Click the linked titles to see the full abstract)

685 Redefining the Paradigm of Modern Mobile Mapping: An Automated High-Precision Road Centerline Mapping System
Charles Toth and Dorota Grejner-Brzezinska

A state-of-the-art land-based mobile mapping system, customized to extract road centerlines at decimeter- level accuracy in a highly automated way in near-real time, is described.

695 DTM Generation from Ikonos In-Track Stereo Images Using a 3D Physical Model
Thierry Toutin

An evaluation based on terrain slope and azimuth showed that the DEM error was linearly correlated with slope and that elevations on sun-facing slopes were 1-m more accurate than elevations on slopes facing away from the sun.

703 Mapping Coastal Vegetation Using an Expert System and Hyperspectral Imagery
K.S. Schmidt, A.K. Skidmore, E.H. Kloosterman, H. Van Oosten, L. Kumar, and J.A.M. Janssen

When hyperspectral imagery was combined with an expert system to classify coastal wetlands for 19 detailed vegetation types, overall accuracy was higher compared to the accuracy of the aerial-photograph interpretation-derived vegetation map.

717 Using Remote Sensing to Assess Stand Loss and Defoliation in Maize
Bruce J. Erickson, Chris J. Johannsen, James J. Vorst, and Larry L. Biehl

The use of remote sensing could increase the accuracy and decrease the expense of determining crop weather damage.

723 Comparison of Land-Cover Classification Methods in the Brazilian Amazon Basin
Dengsheng Lu, Paul Mausel, Mateus Batistella, and Emilio Moran

Classification results indicate that the decision-tree classifier based on linear spectral mixture analysis (DTC-LSMA) and the extraction and classification of homogeneous objects (ECHO) were more accurate than were the minimum-distance classifier (MDC) and the maximum-likelihood classifier (MLC).

733 CoLaPS: An Integrated System Linking Production and Utilization of Land-Cover Information Derived from Landsat Data
Bert Guindon and Ying Zhang

CoLaPS utilizes classification consistency as an accuracy surrogate, leading to measures of classification confidence at the pixel level.

743 A Critical Evaluation of the Normalized Error Matrix in Map Accurcy Assessment
Stephen V. Stehman

The practice of normalizing an error matrix is shown to produce results of questionable interpretive value for describing and comparing the accuracy of maps.

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

Departments
676 New Member List
681 Who’s Who in ASPRS
682 Sustaining Members
684 Advertiser Index
716 Instructions to Authors
732 Forthcoming Articles
742 Calendar
752 Classifieds
753 Bookstore
758 Professional Directory
760 Membership Application

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