PE&RS February 1998

Cover Image

This 1:40,000 scale image, taken January 25, 1995 of Tampa, Florida, was captured using Kodak Aerochrome Infrared Film Type SO-134 for the National Aerial Photography Program (NAPP) in Florida. HAS Images, Inc., of Dayton, Ohio, recently acquired the Statewide copy of the Florida NAPP photography. They are a specialty Photographic Laboratory established to provide processing and printing services to organizations which use aerial photography. Tampa is the site of the 1998 ASPRS-RTI Annual Conference (March 30-April 3, 1998), and HAS Images, Inc., will be available for consultation at the conference. See them in Booth #506. Products from the NAPP film can be ordered through HAS Images, Inc. Contact Customer Service at 937-222-3856; fax 937-222-2443; e-mail hasimage@ix.netcom.com.

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

109 SPOT and Landsat Stereo Fusion for Data Extraction over Mountainous Areas
Thierry Toutin

A method and the quantitative results on the extraction of planimetric and altimetric features from a stereo pair generated with mixed sensor images is presented. 

115 Mosaicking of Orthorectified Aerial Images
Yehuda Afek and Ariel Brand

A complete algorithm to mosaic images taken at different times and conditions with geometric distortions and radiometric differences is presented. 

127 Estimating the Accuracy of Coarse Scale Classification Using High Scale Information
Christiane Klöditz, Angelien van Boxtel, Elisabetta Carfagna, and Willem van Deursen

A method is proposed to estimate the classification accuracy of low-resolution images by using high-resolution images in place of ground truth information. 

135 Experiments in the Identification of Terrain Features Using a PC-Bsed Parallel Computer
Demetrius-Kleanthis D. Rokos and Mark P. Armstrong

The process through which an existing serial algorithm that classifies terrain features in a DEM is recast into a version that executes in a parallel computer environment is described. 

143 A Change Detection Experiment Using Vegetation Indices
John G. Lyon, Ding Yuan, Ross S. Lunetta, and Chris D. Elvidge

Seven vegetation indices were compared for their value in vegetation and land-cover change detection. 

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