PE&RS December 2008

This month’s cover presents a complete 3D urban model of Toronto, Canada, created with combined lidar datasets collected by three of Optech Incorporated’s lidar mapping solutions: ALTM Orion (an ultra-compact airborne mapping sensor), LYNX Mobile MapperTM (a vehicle-mounted mobile mapping sensor), and ILRIS 36D (a tripod-based long range mapping sensor).

The background planimetric model represents data collected by all three sensors, the airborne solution being the dominant data source. Individual models at opposite corners illustrate the level of detail and density possible from inherently orthorectified and directly georeferenced lidar data.

The upper right inset includes ILRIS 36D data of Toronto’s CN Tower, requiring several vantage points for total coverage that is not possible from the airborne solution alone. The lower left inset is an example of the street-level detail collected by the LYNX Mobile Mapper. When lidar data from multiple platforms are wholly combined, a true 3D model of the entire urban environment is possible, including suspended power-lines, complex structural detail, and relative surface responses to the emitted wavelengths (i.e. intensity measures).

This trend towards combining multiple mapping platform types addresses the coverage limitations of any single platform and responds to new market demands for ultra-dense, total-coverage lidar data.

For more information on this image collage, and the products used to generate them, contact Michael Sitar, Product Manager, Optech Incorporated at michaels@optech.ca, or visit our website at http://www.optech.ca.

Highlight Article
1449 Stennis Space Center Uses NASA Remote Sensing Assets to Address Coastal Gulf of Mexico Issues (Adobe PDF 674Kb)
Anne H. Peek, Bryon O. Griffith, Lauren W. Underwood, Callie M. Hall, C. Duane Armstrong, Joseph P. Spruce, Kenton W. Ross

Columns & Updates
1455 Grids and Datums — Republic of Lithuania (Adobe PDF 571Kb)
1458 Book Review — Hyperspectral Remote Sensing – Principles and Applications (Adobe PDF553Kb)
1459 Book Review— Remote Sensing with Polarimetric Radar (Adobe PDF 556Kb)
1461 Reflection of the Past
1462 Headquarters News (Adobe PDF 604Kb)
1462 ASPRS Foundation Awards $40K Grant to Penn State Public Broadcasting Project
1463 Draft Guidelines for the Procurement of Professional Services Released by ASPRS for Comment
1464 Industry News

Announcements
1456 Call for Papers — 22nd Biennial Workshop on Aerial Photography, Videography, and High Resolution Digital Imagery for Resource Assessment
1538 Call for Papers —MultiTemp 2009 — Fifth International Workshop on the Analysis of Multitemporal Remote Sensing Images
1625 ASPRS 2009 Annual Conference — Reflection of the Past, Vision for the Future

Departments
1456 New Member List
1462 Region of the Month
1466 ASPRS Member Champions (Adobe PDF 517Kb)
1468 Who’s Who in ASPRS
1469 Sustaining Members
1471 Instructions for Authors
1486 Forthcoming Articles
1520 Calendar
1624 Classifieds
1626 Professional Directory
1627 Advertiser Index
1628 Membership Application

2008 PE&RS Index
1597 Subject Index (Adobe PDF 844Kb)
1614 Author Index (Adobe PDF 693Kb)

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

1473 A Knowledge-based Approach to Urban Feature Classification Using Aerial Imagery with Lidar Data
Ming-Jer Huang, Shiahn-Wern Shyue, Liang-Hwei Lee, and Chih-Chung Kao

Applying knowledge- and segment-based vertical stratification, rule-based classification, and aggregation schemes with knowledge-based correction to improve the classification accuracy of urban features

1487 Radiometric Calibration and Characterization of Largeformat Digital Photogrammetric Sensors in a Test Field
Lauri Markelin, Eija Honkavaara, Jouni Peltoniemi, Eero Ahokas, Risto Kuittinen, Juha Hyyppä, Juha Suomalainen, and Antero Kukko

Digital large-format photogrammetric sensors, the ADS40, the DMC, and the UltraCamD are radiometrically calibrated and characterized using a photogrammetric test field.

1501 Incorporation of Flow Stripes as Constraints for Calibrating Ice Surface Velocity Measurements from Interferometric SAR Data
Hongxing Liu, Jaeyhung Yu, Zhiyuan Zhao, and Kenneth C. Jezek

A new technique for calibrating ice surface velocity from interferometric SAR data with flow stripes as constraints.

1509 An Ecological Framework for Evaluating Map Errors Using Fuzzy Sets
John H. Lowry, Jr., R. Douglas Ramsey, Lisa Langs Stoner, Jessica Kirby, and Keith Schulz

Using an ecological context to defi ne varying levels of landcover class similarity, a decision framework guides map experts’ decisions and provides a more meaningful assessment of map errors using fuzzy sets.

1521 Line Feature Correspondence between Object Space and Image Space
Jen-Jer Jaw and Nei-Hao Perng

An effective working scheme for line feature correspondence between object space and image space.

1529 Modeling Algorithm-induced Errors in Iterative Monoplotting Process
Yongwei Sheng

A theoretical investigation of the error budget of the iterative algorithm in the mono-plotting process and estimates the algorithm-induced error in the ground coordinate output.

1539 Calibration and Assessment of Multitemporal Imagebased Cellular Automata for Urban Growth Modeling
Sharaf Alkheder and Jie Shan

A cellular automata for urban growth modelling is designed and calibrated spatially and temporally based on multitemporal satellite images.

1551 Assessing Geometric Reliability of Corrected Images from Very High Resolution Satellites
Manuel A. Aguilar, Fernando J. Aguilar, and Francisco Agüera

Validation of two theoretical models for estimating the reliability of geometric accuracies measured as Root Mean Square Error over corrected single images from QuickBird and Ikonos imagery.

1561 Designing a Multi-Objective, Multi-Support Accuracy Assessment of the 2001 National Land Cover Data (NLCD 2001) of the Conterminous United States
Stephen V. Stehman, James D. Wickham, Timothy G. Wade, and Jonathan D. Smith

A framework for designing accuracy assessments of largearea land-cover maps developed and applied to the 2001 National Land Cover Data.

1573 Fuzzy ARTMAP-based Neurocomputational Spatial Uncertainty Measures
Zhe Li

Non-parametric Commitment and Typicality measures for the fuzzy ARTMAP computational neural network to handle spatial uncertainty in remotely sensed imagery classification.

1585 Classification of Very High Spatial Resolution Imagery Based on the Fusion of Edge and Multispectral Information
Xin Huang, Liangpei Zhang, and Pingxiang Li

A new algorithm to classify high spatial resolution remotely sensed imagery by integrating fuzzy edge information and multispectral features.