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| PE&RS February 2008VOLUME 74, NUMBER 2PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING JOURNAL OF THE AMERICAN SOCIETY FOR PHOTOGRAMMETRY AND REMOTE SENSING
This work exemplifies NASA’s Scientific Data Purchase legacy and commercial high resolution imagery applications, as scientists use commercial high resolution data to examine lunar analog Earth landscapes for advanced planning and trade studies for future lunar surface activities. Other applications include landscape dynamics related to volcanism, hydrologic events, climate change, and ice movement. Optech scanner data was provided by Darling Environmental & Surveying, Ltd. Meteor Crater Enterprises, Inc. graciously permitted NASA to perform the field campaign. Thanks to Rodney McKellip, Stennis Space Center, for providing the derived 3-D image products from the lunar analog project; for information contact Troy Frisbie at troy.e.frisbie@nasa.gov.
Foreword
Highlight Article Columns & Updates Departments Peer-Reviewed Articles (Click the linked titles to see the full abstract) 169 Automatic Registration and Mosaicking for Airborne
Multispectral Image Sequences An automatic image registration algorithm to co-register different bands with a single frame and an image mosaicking algorithm. 183 Pixel Level Fusion of Panchromatic and Multispectral
Images Based on Correspondence Analysis A pixel level data fusion approach based on correspondence analysis for high spatial and spectral resolution satellite data. 193 A global index capable of measuring the qualit of pansharpened multispectral images and working at the full scale withiut oreforming any preliminary degradation of the data. 201 Anomaly Detection in Hyperspectral Imagery by Fuzzy
Integral Fusion of Band-subsets An anomaly target detection algorithm in hyperspectral imagery through merging detection results of band-subsets by a fuzzy integral fusion method. 215 Fusion of Lidar and Imagery for Reliable Building
Extraction The fusion of lidar and photogrammetric imagery for precise and automatic building extraction using line segments matching and perceptual grouping. 227 Extracting Urban Road Networks from High-resolution
True Orthoimage and Lidar To extract urban area road networks, road candidates are extracted with newly developed acupuncture method and refined by a blocking mask from high-resolution true orthoimage and lidar. 239 Multisource Classification Using Support Vector
Machines: An Empirical Comparison with Decision Tree
and Neural Network Classifiers An SVM based multi-source classification shows a significant increase in the classification accuracy with incorporation of ancillary data over the classification performed solely on the basis of spectral data from remote sensing sensors. 247 Mapping Vegetation Communities Using Statistical
Data Fusion in the Ozark National Scenic Riverways,
Missouri, USA A vegetation community map was produced for the Ozark National Scenic Riverways using a discriminant analysis statistical approach combined with photointerpretation to exploit a large set of input variables obtained from remote sensing and topographic data.
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