ASPRS

PE&RS November 2002

VOLUME 68, NUMBER 11
PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
JOURNAL OF THE AMERICAN SOCIETY FOR PHOTOGRAMMETRY AND REMOTE SENSING

PE&RS November 2002Cover Image
This color image of downtown Denver, Colorado (USA) was acquired on 20 June 2002 using a Leica ADS40 Airborne Digital Sensor. The altitude of the flight was 3710 meters above sea level and the ground sample distance of the raw imagery was 16 cm. The orthorectified imagery shown here was generated with a ground sample distance of 25 cm. The inset shows the Adam's Mark Hotel, site of the ASPRS Pecora 15 + Land Satellite IV + ISPRS Commission I Symposium, 11-15 November 2002.

For more information about Leica Geosystems' GIS & Mapping Division or its products and services, call: +1 404 248 9000, toll free: +1 877 463 7327, or visit: www.gis.leica-geosystems.com.

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

1149 Bayesian Soft Classification for Sub-Pixel Analysis: A Critical Evaluation
J.R. Eastman and R.M. Laney

Fuzzy training sites improve the accuracy of the Bayesian soft-classification procedure by increasing the degree of overlap between parent distributions.

1155 The Effect of Training Strategies on Supervised Classification at Different Spatial Resolutions
DongMei Chen and Douglas Stow

Three different training strategies often used for supervised classification were compared for six image subsets containing a single land-use/land-cover component and at five different spatial resolutions.

1163 Improved Estimation of Environmental Parameters through Locally Calibrated Multivariate Regression Analyses
Fabio Maselli

The use of locally calibrated multivariate regression procedures is introduced in order to improve the consideration of spatially variable relationships between land surface properties and remotely sensed data.

1173 A Subpixel Classifier for Urban Land-Cover Mapping Based on a Maximum-Likelihood Approach and Expert System Rules
Ming-Chih Hung and Merrill K. Ridd

A supervised classifier was developed, based on a maximum-likelihood approach, TM image characteristics, the V-I-S model, and expert system rules, to estimate ground component composition of urban areas at the subpixel level.

1181 Population Estimation Models Based on Individual TM Pixels
Jack T. Harvey

The use of an expectation-maximization (EM) algorithm enables statistical modeling of population at the level of the individual pixels of a Landsat TM image rather than larger irregular census-compatible spatial zones, resulting in mathematically simpler and more spatially flexible models for small-area population estimation.

1193 Estimating Residual Wheat Dry Matter from Remote Sensing Measurements
Nereu Augusto Streck, Donald Rundquist, and Joel Connot

A laboratory experiment was carried out with the objectives of (1) testing optical remote sensing as a means of measuring the amount of wheat residue dry matter, and (2) modeling the relationship between the amount of wheat residue and reflectance indices.

1203 3D Model-Based Tree Measurement from High-Resolution Aerial Imagery
P. Gong, Y. Sheng, and G.S. Biging

An interactive 3D model-based tree interpreter is proposed to extract 3D tree parameters such as tree location, tree height, crown depth, crown radius, and crown surface curvature from multi-ocular high-resolution aerial images.

Announcements
1129 Symposium of ISPRS Commission V
1140 ASPRS 2003 Annual Conference
1192 Call for Papers - Advances in Systems for Spatial Data Processing, Analysis and Representation

Columns & Updates
1125 Direct Georeferencing
1127 Grids & Datums - Oriental Republic of Uruguay
1131 Headquarters News
1135 Industry News

Departments
1131 New Member List
1143 Who's Who in ASPRS
1145 Sustaining Members
1147 Calendar
1148 Advertiser Index
1162 Instructions to Authors
1172 Forthcoming Articles
1213 Classifieds
1216 Bookstore
1220 Professional Directory
1223 Membership Application
Top Home