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| PE&RS May 2006VOLUME 72, NUMBER 5PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING JOURNAL OF THE AMERICAN SOCIETY FOR PHOTOGRAMMETRY AND REMOTE SENSING
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
Columns & Updates Announcements Departments Resource 2006 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 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 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 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 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 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 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 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 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.
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