PE&RS May 2006

This month’s cover image is provided by GeoCue Corporation (formerly NIIRS10), the Huntsville, Alabama-based company that has developed GeoCue, a family of geospatial workfl ow management tools. The cover image depicts a production fusion view of a department of transportation corridor mapping project in Ashtabula County, Ohio. Data included in the project are USGS DEM, lidar, LMK frame imagery and Applanix DSS imagery. The entire project is superimposed on a USGS digitized quad sheet for context. The frame images in the lower right are in-process digital ortho photos being created by the new Leica Ortho Accelerator system, an enterprise ortho production system jointly developed by GeoCue Corp. and Leica Geosystems. Superimposed on the orthos is a lidar delta Z (dZ) image generated in the Lidar 1 CuePac. The dZ images are used to assess the relative vertical accuracy of lidar point data. The narrow band of images appearing from under the orthos and tracking the highway corridor toward the right are elevation visualization images produced in the DEM CuePac from LIDAR point cloud data. This composite illustrates a new production fusion paradigm for geospatial processing.

All data courtesy of the Ohio Department of Transportation.

For more information please visit www.geocue. com or contact Lewis Graham at 256-461-8289.

Foreword

529 Mapping from High-resolution Satellite Imagery
Vincent Tao, Karsten Jacobsen, John Jensen, and Gunho Sohn

Columns & Updates
343 Grids and Datums — Republic of Perú (Adobe PDF 231Kb)
501 Headquarters News — Kass Green Elected as ASPRS Vice President Morton, Smith, and Iiames Elected as Assistant Division Directors; Fourth Announcement - The Robert N. Colwell Memorial Fellowship Award (Adobe PDF 155Kb)
505 Industry News

Announcements
497 PE&RS Special Issue Call for Papers — Remote Sensing Data Fusion
498 PE&RS Special Issue Call for Papers — Web and Wireless GIS
563 ASPRS/MAPPS Specialty Conference— Measuring the Earth - Latest Developments with Digital Surface Modeling and Automated Feature Extraction

Departments
499 New Member List
501 Region of the Month
503 Certification List
507 Who’s Who in ASPRS
508 Sustaining Member List
510 New Sustaining Member— New Tech Services, Inc.
511 Instructions to Authors
513 Bookstore
550 Forthcoming Articles
564 Calendar
590 ASPRS Member Champions (Adobe PDF 98Kb)
605 Classifieds
606 Professional Directory
607 Advertiser Index
608 Membership Application

Resource 2006
418 Introduction
419 Sustaining Members
421 Corporate Descriptions
474 ASPRS Code of Ethics

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

531 Automated Feature Generation in Large-Scale Geospatial Libraries for Content-Based Indexing
Kenneth W. Tobin, Budhendra L. Bhaduri, Eddie A. Bright, Anil Cheriyadat, Thomas P. Karnowski, Paul J. Palathingal, Thomas E. Potok, and Jeffery R. Price

A method for feature analysis, segmentation, and indexing for region-based management, retrieval, and data-mining of large, high-resolution geospatial libraries.

541 Semiautomatic Building Line Extraction from Ikonos Images Through Monoscopic Line Analysis
Taejung Kim

A new algorithm for extracting building lines from monoscopic high-resolution satellite images.

551 Surface Mapping Using Image Triplets: Case Studies and Benefi t Assessment in Comparison to Stereo Image Processing
Hannes Raggam

As an extension to stereo mapping, a 3D mapping approach which can utilize multiple images was implemented, and its benefit was assessed in representative case studies and in comparison to common 3D stereo mapping.

565 High-resolution Image Fusion: Methods to Preserve Spectral and Spatial Resolution
Andreja Švab and Krištof Ošti

Quality analysis and theoretical limits of selected image fusion methods with special attention to the spectral sensitivity analysis and preservation of spectral (color) and spatial information from Ikonos, QuickBird, and Landsat images.

573 The Geometrical Comparisons of RSM and RFM for FORMOSAT-2 Satellite Images
Liang-Chien Chen, Tee-Ann Teo, and Chien-Liang Liu

A comparison of the geometric performances between the RSM and RFM for FORMOSAT-2 satellite images.

581 A Bottom-up Approach to Vegetation Mapping of the Lake Tahoe Basin Using Hyperspatial Image Analysis
Jonathan A. Greenberg, Solomon Z. Dobrowski, Carlos M. Ramirez, Jahale L. Tuil, and Susan L. Ustin

Hyperspatial Ikonos imagery analyzed with a fusion of pixelbased species classifi cation, automated image segmentation techniques to define vegetation patch boundaries, and vegetation community classification using querying of the species classification raster based on existing and novel rulesets.

591 MTF-tailored Multiscale Fusion of High-resolution MS and Pan Imagery
B. Aiazzi, L. Alparone, S. Baronti, A. Garzelli, and M. Selva

A multiresolution framework for merging a multispectral image having an arbitrary number of bands with a higher-resolution panchromatic observation.

597 Comparison of 3D Physical and Empirical Models for Generating DSMs from Stereo HR Images
Thierry Toutin

A comparison of 3D physical and empirical models for stereo-processing and the generation of digital surface models from different stereo, high-resolution sensors: Ikonos and QuickBird.