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Current PE&RS Cover

PE&RS June 2005

Cover Image

Cover image is provided courtesy of Istituto Nazionale di Oceanografie di Geofisica Sperimentale (OGS) of Italy. The image is a reconstructed, digital elevation of the historical center and coastline of Trieste, Italy, captured using an airborne lidar sensor. The image was analyzed for a recent flood impact study. OGS works extensively with lidar imagery to better understand geomorphology and recently worked with RSI to develop a new tool for processing lidar data based on RSI’s IDL technology, called iLiDAR.

For more information on OGS visit: http://www.ogs.trieste.it. For more information on RSI and iLiDAR visit http://www.rsinc.com/iLidar.

Columns & Updates
645 Grids and Datums — Democratic Republic of The Congo (Adobe PDF 79Kb)
647 ASPRS Certification — What’s in it for Me? (Adobe PDF 1.36Mb)
649 Headquarters News — ASPRS Announces the Launch of the ASPRS Foundation, Inc. (Adobe PDF 797Kb)
650 ASPRS/MAPPS Letter on Landsat (Adobe PDF 797Kb)
654 Industry News

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

689 Lineal Feature Detection Using Multiresolution Wavelet Filters
Samuel P. Kozaitis and R. H. Cofer

A method for detection of road seed pixels that reduced the number of false positives.

699 Photogrammetric and Lidar Data Registration Using Linear Features
Ayman Habib, Mwafag Ghanma, Michel Morgan, and Rami Al-Ruzouq

Different methodologies for registering photogrammetric and lidar datasets to a common reference frame using straight lines.

709 Mapping Detailed Biotic Communities in the Upper San Pedro Valley of Southeastern Arizona using Landsat 7 ETM+ Data and Supervised Spectral Angle Classifier
Youngsinn Sohn and Jiaguo Qi

Detailed biotic communities were mapped with high accuracy using the Supervised Spectral Angle Classifier and Landsat-7 EMT+ imagery.

719 Analysis of Urban Land Cover and Population Density in the United States
Francesca Pozzi and Christopher Small

Analysis of population density and vegetation distribution for several cities shows a strong correspondence in cities with high population density but considerable regional variability that precludes simple spectral classifications of land cover.

727 A Photogrammetric Method for Single Image Orientation and Measurement
Antonio Maria Garcia Tommaselli and Mário Luis Lopes Reiss

Camera attitude is indirectly computed using vertical and horizontal straight lines while its position is directly measured with a lasermeter.

733 Stability Analysis and Geometric Calibration of Off-the-Shelf Digital Cameras
Ayman Habib and Michel Morgan

A discussion of the incorporation of straight lines for automatic calibration of digital cameras with quantitative assessment of camera stability for mapping purposes.

743 Neighborhood Systems for Airborne Laser Data
Sagi Filin and Norbert Pfeifer

Analysis of neighborhood systems that are commonly used for lidar data and a proposed new method that is more suitable for the information carried with thelaser data.

Announcements
668 PE&RS Special Issue Call for Papers — “The Shuttle Radar Topography Mission– Data Validation and Applications”
684 Pecora 16 — Global Priorities in Land Remote Sensing
688 PE&RS Special Issue Call for Papers —“Mapping from High Resolution Satellite Imagery”

Departments
649 Region of the Month
652 New Member List
685 Who’s Who in ASPRS
686 Sustaining Member
688 Advertiser Index
698 Instructions to Authors
708 Forthcoming Articles
742 Calendar
756 Classifieds
757 Bookstore
761 Professional Directory
764 Membership Application

Yearbook
659 Board of Directors (Adobe PDF 167Kb)
660 Installation of Officers (Adobe PDF 241Kb)
661 ASPRS: The Imaging and Geospatial Information Society (Adobe PDF 48Kb)
662 President’s Address (Adobe PDF 107Kb)
664 Executive Director’s Address (Adobe PDF 228Kb)
669 Awards Recipients (Adobe PDF 1.98Mb)
677 Memorial Address – Duane C. Brown (Adobe PDF 1.01Mb)
682 Memorial Address – Hugh “Red” Berlin Loving (Adobe PDF 170Kb)

Click HERE for a .pdf version of the whole yearbook (file size 4.68Mb)