PE&RS February 2008

This cover image incorporates high resolution stereo pairs acquired from the DigitalGlobe® QuickBird sensor. It shows a digital elevation model of Meteor Crater, Arizona at approximately 1.3 meter point-spacing. Image analysts used the Leica Photogrammetry Suite to produce the DEM. The outside portion was computed from two QuickBird panchromatic scenes acquired October 2006, while an Optech laser scan dataset was used for the crater’s interior elevations. The crater’s terrain model and image drape were created in a NASA Constellation Program project focused on simulating lunar surface environments for prototyping and testing lunar surface mission analysis and planning tools.

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
168 Remote Sensing Data Fusion
Jie Shan and Uwe Stilla

Highlight Article
138 NASA’s Earth Science Use of Commercially Available Remote Sensing Datasets (Adobe PDF 5570Kb)
S. Goward, L. Underwood, M. Fearon, R. Fletcher, J. Garvin, G. Hurtt, J. Jensen, M. Nolan, K. Holekamp, M. Pagnutti, R. Ryan, T. Stanley, T. Frisbie, and W. Swearingen

Columns & Updates
149 Grids and Datums— United Republic of Tanzania (Adobe PDF 151Kb)
151 Letter to the Editor (Adobe PDF 89Kb)
153 Book Review — Mastering ArcGIS, 3rd Edition (Adobe PDF 873Kb)
160 Industry News
162 Headquarters News - New PE&RS Editor in Chief (Adobe PDF 105Kb)

Departments
152 New Member List
155 Certification List
161 Regions of the Month
163 Who’s Who in ASPRS
164 Sustaining Members
166 Instructions for Authors
182 Forthcoming Articles
214 Calendar
265 Advertiser Index
265 ASPRS Member Champions (Adobe PDF 57Kb)
266 Classifieds
267 Professional Directory
268 Membership Application

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

169 Automatic Registration and Mosaicking for Airborne Multispectral Image Sequences
Qian Du, Nareenart Raksuntorn, Adnan Orduyilmaz, and Lori M. Bruce

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
Halil I. Cakir and Siamak Khorram

A pixel level data fusion approach based on correspondence analysis for high spatial and spectral resolution satellite data.

193
Multispectral and Panchromatic Data Fusion Assessment Without ReferenceLuciano Alparone, Bruno Aiazzi, Stefano Baronti, Andrea Garzelli, Filippo Nencini, and Massimo Selva

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
Wei Di, Quan Pan, Lin He, and Yongmei Cheng

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
Dong Hyuk Lee, Kyoung Mu Lee, and Sang Uk Lee

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
Junhee Youn, James S. Bethel, Edward M. Mikhail, and Changno Lee

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
Pakorn Watanachaturaporn, Manoj K. Arora, and Pramod K. Varshney

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
Robert A. Chastain Jr., Matthew A. Struckhoff, Hong He, and David R. Larsen

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.