Digital Commons Network^™

Vlsi Algorithms For Relational Database Operations, Ching C. Hsiao, Lawrence Snyder

Department of Computer Science Technical Reports

No abstract provided.

The Kars Image Analysis System: A Low Cost Interactive System For Instruction And Research, Lee T. H. Williams, J. Siebert, C. Gunn

LARS Symposia

The Kansas Applied Remote Sensing (KARS) Program and Department of Geography- Meteorology have developed an interactive digital image processing program package that runs on the University of Kansas central computer. The module form and simple Fortran programming of the package has allowed easy and rapid upgrades and extensions of its capabilities. The package is comprised of sub image extraction and rectification, image display and enhancement, and both supervised and unsupervised classification routines. It has been used in both instructional and research settings at the University.

Evaluation Of A Segment-Based Landsat Full-Frame Approach To Crop Area Estimation, M. M. Hixson, S. M. Davis, M. E. Bauer

LARS Symposia

Accurate and timely crop production information is a critical need in today's economy. During the past decade, satellite remote sensing has been increasingly recognized as a means for crop identification and estimation of crop areas. The Landsat multispectral scanner (MSS) records as a single data point (pixel) a region on the ground about one acre (0.5 ha) in size. When estimates of crop areas are desired for large regions, a statistical sampling scheme is required as it is not feasible to examine all of the pixels in the region of interest. The development of a sampling strategy which is both …

Remote Sensing Education: A Special Report On The Conference Of Remote Sensing Educators - Corse-81, T. M. Lillesand

LARS Symposia

CORSE-81, Conference On Remote Sensing Education, was held May 18-22, 1981, at Purdue University. Co-sponsored by NASA and NOAA, the conference was organized and conducted by the Purdue University Laboratory for Applications of Remote Sensing (LARS). Attended by approximately 200 educators from a broad range of disciplines, CORSE-81 represented the first national conference in the U.S. dealing solely with the topic of remote sensing education.

This paper is an attempt to summarize the major trends and issues in remote sensing education which crystallized from the presentations and discussions of CORSE-81. These include: 1) a profile (by discipline) of remote sensing …

An Application Of Large Scale Computing Facilities To The Processing Of Landsat Digital Data In Australia, David W. Beach, Ken W. Dawbin

LARS Symposia

An early issue in the Australian Wide Scale Wheat Monitoring Project, started in November, 1978, was whether to use area sampling, as in the LACIE, or to be innovative and attempt whole scene processing. The availability of a large computing system and acknowledgment of the trends in price and performance of computers influenced a decision towards whole scene processing.

The computing facilities used in this project are described.

An interactive facility supported by software called ER-MAN II is installed on an IBM 3033 which simultaneously supports several hundred other interactive users. The pros and cons of using such a shared …

Biotic Contributions To The Global Carbon Cycle: The Role Of Remote Sensing, R. A. Houghton, G. M. Woodwell

LARS Symposia

The CO2 content of the atmosphere is increasing currently as a result of the combustion of fossil fuels and the oxidation of vegetation and soils associated with changes in the use of land. Prediction of the atmospheric CO2 concentration in the future requires a better understanding of how important these land-use changes are currently and how important they have been in the past. In this paper we present an analysis of past changes in the terrestrial biota and soils of the earth. The analysis is based on rates of forest harvest and regrowth, rates of land conversion to agriculture, and …

Processor Displacement: An Area-Time Trade-Off Method For Vlsi Design, David M. Deruyck, Lawrence Snyder, John D. Unruh

Department of Computer Science Technical Reports

No abstract provided.

An Analytical Study Of Strategy-Oriented Restructuring Algorithms, Jehan-François Päris, Domenico Ferrari

Department of Computer Science Technical Reports

No abstract provided.

Conversion From Data-Flow To Synchronous Execution In Loop Programs, Janice D. Cuny, Lawrence Synder

Department of Computer Science Technical Reports

No abstract provided.

Error Analysis Of Homogeneous Mean Queue And Response Time Estimators, Jeffrey A. Brumfield, Peter J. Denning

Department of Computer Science Technical Reports

No abstract provided.

Software Metrics Data Collection, T. J. Yu, Brian A. Nejmeh

Department of Computer Science Technical Reports

No abstract provided.

Metamodeling And Its Application To Queueing Networks, Jeffrey P. Buzen, Subhash C. Agrawal

Department of Computer Science Technical Reports

No abstract provided.

Cardiac Output During Cardiopulmonary Resuscitation At Various Compression Rates And Durations, Kevin R. Fitzgerald, Charles F. Babbs, Henry A. Frissora, Robert W. Davis, Douglas I. Silver

Weldon School of Biomedical Engineering Faculty Publications

Cardiac output during cardiopulmonary resuscitation (CPR) was measured by a modified indicator-dilution technique in 20 anesthetized dogs (6-12 kg) during repeated 1- to 2-min episodes of electrically induced ventricular fibrillation and CPR, produced by a mechanical chest compressor and ventilator. With compression rates from 20 to 140/min and compression durations (duty cycles) from 10 to 90% of cycle time, cardiac output (CO) was predicted by the equation:

,

where CR is compression rate, DC is duty cycle, SV_max (19 ml) is the effective capacity of the pumping chamber, and k_l (0.00207 min) and k₂ (0.00707 min) are …

A Case For Standardized Test Sites, Charles E. Olson

LARS Symposia

Continued progress in remote sensing can be fostered by more standardized test procedures. Standardized test sites, including sites with totally enumerated populations, have particular advantages in testing sampling and modeling methods. Due to the multitude of purposes for using remote sensor data, it is unlikely that any single test site can meet needs of all users.

Contextual Classification Of Multispectral Image Data: An Unbiased Estimator For The Context Distribution, James C. Tilton, Philip H. Swain, Stephen B. Vardeman

LARS Symposia

Recent investigations have demonstrated the effectiveness of a contextual classifier that combines spatial and spectral information employing a general statistical approach. This statistical classification algorithm exploits the tendency of certain groundcover classes to occur more frequently in some spatial contexts than in others. Indeed, a key input to this algorithm is a statistical characterization of the context: the context distribution. Here we discuss an unbiased estimator of the context distribution which, besides having the advantage of statistical unbiasedness, has the additional advantage over other estimation techniques of being amenable to an adaptive implementation in which the context distribution estimate varies …

Use Of An Apple Computer To Identify Vegetation And Assess The Coverage Within Single Landsat Pixels, Haven C. Sweet

LARS Symposia

Conventional image analyzing techniques are inaccurate when applied to Landsat data obtained from highly heterogeneous regions. In much of Florida, plant communities occupy small areas with erratic boundaries, meaning that most Landsat pixels represent a mixture of several different plant formations. This is especially true when studying an alien tree such as Melaleuca which is expanding its range by infiltrating a variety of plant communities. This paper describes development of a technique for using a personal computer to identify and quantify the major communities (plus sand and water) within a single pixel, and applies it to attempts to inventory the …

Correcting For Anisotropic Reflectances In Remotely Sensed Images From Mountainous Terrains, Heinz Hugli, Werner Frei

LARS Symposia

Remotely sensed images from mountainous terrains are subject to important radiometric variations which we desire to correct. A quantitative analysis of a remote sensing model is presented and the different aspects of radiometric correction are overviewed. A computer simulation is performed in order to better understand the combined effects of anisotropic reflectance characteristics and variable surface orientations, as encountered in remote sensing of mountainous terrains covered with vegetation. The results illustrate typical reflectance effects and show that the possibilities for a radiometrical correction are limited. This is due to the practical difficulty of exactly determining all reflection properties in a …

Techniques For Evaluation Of Area Estimates, Marilyn M. Hixson

LARS Symposia

Since the launch of the first Landsat satellite in 1972, satellite remote sensing has been increasingly recognized as a tool for mapping and area estimation of earth resources. The Landsat MSS records a region on the ground about one acre (0.5 ha) in size. This provides a good spatial resolution for mapping purposes, and Landsat data have been used for mapping such characteristics as general land use and soil type. Estimation of the areal extent of a feature has been a key use of Landsat data. The primary uses for area estimation have been in agriculture with crop and forest …

An Evaluation Of Isocls And Classy Clustering Algorithms For Forest Classification In Northern Idaho, Lee F. Werth

LARS Symposia

This paper represents one of many studies funded under AgRISTARS to determine how Landsat can contribute to the Forest Service's Renewable Resource Inventory effort as mandated by the National Forest Management Act of 1976. The specific objective of this study was to test clustering algorithms used at Johnson Space Flight Center - ISOCLS and CLASSY.

Evaluation Of Usda Large Area Crop Estimation Techniques, M. L. Amis, R. K. Lennington, M. V. Martin, W. G. Mcguire, S. S. Shen

LARS Symposia

The USDA's EDITOR system registers and digitizes the ground truth and raw Landsat data, clusters, classifies, and develops area estimates by regressing the ground truth hectarage onto the number of pixels classified per segment (a sampling unit of one square mile). A research program was conducted to evaluate the performance of EDITOR and make selected improvements to components of EDITOR. It was found that the use of multitemporal data over unitemporal significantly improved crop hectarage estimates. Performance measures on an independent test set and a jackknifed test set decreased, indicating that the current procedure of using a single data set …

A New Approach To Automatic Identification Of Ground Objects Via The Reflectance Look-Up Tables, Y. Kawata, T. Kusaka, Y. Haba, S. Ueno

LARS Symposia

In the present study we describe a method to estimate the optical thickness of the atmospheric haze. A true surface reflectance data set is obtained from a LANDSAT data set by using the Atmospheric Effect Correction System developed at Kanazawa Institute of Technology. A data base of classes of land covers containing the statistical information on the spectral reflectance is constructed from true surface reflectance data sets. Finally a new and powerful table look-up approach in classification is described and the results are presented.

Broad Area Forest Fuels And Topography Mapping Using Digital Landsat And Terrain Data, Mark B. Shasby, Robert R. Burgan, Gregg R. Johnson

LARS Symposia

A spatially registered digital data base of fuels and terrain information was generated for a test site on the Lolo National Forest in Montana. The data base was developed specifically for providing spatially relevant data to a mathematical fire behavior model developed by the Forest Service which integrates this information along with current weather data to produce realistic estimates of probable fire behavior.

Methodologies for the processing and analysis of Landsat MSS and digital terrain data for the mapping of U.S. Forest Service fuel types were developed and demonstrated. Key elements in the mapping process were the development of a …

Waveband Evaluation Of Proposed Thematic Mapper In Forest Cover Classification, Richard S. Latty, Roger M. Hoffer

LARS Technical Reports

This study involved the evaluation of the characteristics of multispectral scanner data relative to forest cover type mapping, using NASA's NS-001 multispectral scanner to simulate the proposed Thematic Mapper (TM). The objectives were to determine: (1) the optimum number of wavebands to utilize in computer classifications of TM data; (2) which channel combinations provide the highest expected classification accuracy; and (3) the relative merit of each channel in the context of the cover classes examined. Transformed divergence was used as a measure of statistical distance between spectral class densities associated with each of twelve cover classes. The maximum overall mean …

Some Results On Perfect, Static-Key Hashing, Eric Dittert, Michael J. O'Donnell

Department of Computer Science Technical Reports

No abstract provided.

The Configurable, Highly Parallel (Chip) Approach For Signal Processing Applications, Lawrence Snyder

Department of Computer Science Technical Reports

No abstract provided.

The Response Times Of Priority Classes Under Preemptive Resume In M/G/M Queues, A. B. Bondi, J. P. Buzen

Department of Computer Science Technical Reports

No abstract provided.

Wafer Scale Integration Of Parallel Processors, Kye Sherrick Hedlund

Department of Computer Science Technical Reports

No abstract provided.

Optimal Tile Salvage, Francine Berman, Frank Thomsons Leighton, Lawrence Snyder

Department of Computer Science Technical Reports

No abstract provided.

The Notation Of Operational Analysis, Peter J. Denning

Department of Computer Science Technical Reports

No abstract provided.

History And Overview Of Csnet, Peter J. Denning, Anthony Hearn, C. William Kern

Department of Computer Science Technical Reports

No abstract provided.