Digital Commons Network^™

Optimization Of Compressor And Valve Design - An Initial Study Using A Direct Search Technique, J.F. T. Maclaren, S. V. Kerr, R. G. Hoare

International Compressor Engineering Conference

No abstract provided.

Construction Of A Library Of Computer Routines For Refrigeration Systems Analysis, T. C. Scott, G. L. Davis

International Compressor Engineering Conference

No abstract provided.

Compression Of Gases At Moderate And High Densities, J. S. Yu

International Compressor Engineering Conference

No abstract provided.

Simulation Of Reciprocating Compressor Including Suction And Discharge Lines By Hybrid Computer, S. Touber, S. W. Brok, H. J. Blankespoor

International Compressor Engineering Conference

No abstract provided.

Effects Of Misregistration On Multispectral Recognition, R. C. Cicone, W. A. Malila, J. M. Gleason, R. F. Nalepka

LARS Symposia

Spatial misregistration of multispectral scanner data exists when two (or more) spectral band signals supposedly representing the same location are in fact data values generated from two (or more) overlapping or entirely different ground locations. Misregistration can be found to occur between scanner data channels due to inherent scanner system characteristics and between time periods of multitemporal data due to errors in spatial registration. A study was conducted at the Environmental Research Institute of Michigan to determine what effect these forms of spatial misregistration may have on the accuracy of recognition processing of agriculturally oriented scanner data. A technique was …

Statistical Analysis Of Texture In Landsat Images Of The United Kingdom, R. M. Lee, P. Gray, M. E. Barnett

LARS Symposia

The agricultural regions of England appear in LANDSAT IMAGES as extended mosaic patterns of small fields. Individual fields, especially in the hillier north and west of the country may be as small as a few pixels and thus it is the field patterns themselves which make up the texture of the image. We have been concerned with the problem of mapping the average orientation of fields (a secondary indicator for geomorphology) and the distribution of field size.

Two approaches are being used:

(i) Holographic derivation of local autocorrelation information.

(ii) Digital extraction of statistical parameters.

For our test area in …

Landsat Estimation With Cloud Cover, George A. Hanuschak

LARS Symposia

The problem addressed in this paper is crop acreage estimation techniques which utilize LANDSAT I imagery that is not cloud free. Several statistical techniques are proposed that would allow inferences about the population even if cloud cover is an extensive problem. These techniques are entirely dependent upon a random sample of ground data; from the total population of interest.

Processing Remotely Sensed Data With Array Processors, A. S. Margulies

LARS Symposia

Array processors have been used extensively in military applications involving sonar and radar signal processing, but they have not been as widely employed in image processing applications. The constraints of limited word-size and limited programmability which previously made array processors unattractive have been mitigated with the architecture of the modern machines and the low cost of these modern processors relative to the cost of large scale computers. The array processors are not general purpose computers. Instead, they are extremely fast specialized processors in a parallel architecture with a memory structure matched to the processor capabilities. This arrangement is less flexible …

Linear Dimensionality Of Landsat Agricultural Data With Implications For Classification, S. G. Wheeler, P. N. Misra, Q. A. Holmes

LARS Symposia

A model for the LANDSAT multispectral scanner data, representing a generalization of the commonly used Gaussian model, has been formulated and analyzed. The model hypothesizes that the data for different crop types essentially lie on distinct hyperplanes in the feature space. Tests of this model reveal that: (1) the agricultural data from any single acquisition (i.e., four-channel) of LANDSAT are essentially two dimensional, regardless of the crop type; and (2) the data from different sites and different stages of crop development all lie on planes which are parallel. These findings have significant implications for data display, classification, feature extraction, and …

Remote Sensing Technology--A Look To The Future, David Landgrebe

LARS Technical Reports

If one is bothered by the possibility of being wrong perhaps one of the most risky things to do is to attempt to predict future directions of technology. However, in these days of extremely limited resources, good planning for development is essential to get the greatest bang for the buck spent on technology development. Such a plan must be based upon some anticipation of the direction that development will go. Thus, one must attempt to project both the potential for and direction of the future development of a technology. It is important to know at any given time what one's …

A Landsat Digital Image Rectification System, Peter Van Wie, Maurice Stein

LARS Symposia

DIRS is a Digital Image Rectification System for the geometric correction of Landsat Multispectral Scanner digital image data. DIRS removes spatial distortions from the data and brings it into conformance with the Universal Transverse Mercator (UTM) map projection. Scene data in the form of landmarks or Ground Control Points (GCPs) are used to drive the geometric correction algorithms. The system offers extensive capabilities for "shade printing" to aid in the determination of GCPs. Affine, two dimensional least squares polynominal and spacecraft attitude modeling techniques for geometric mapping are provided. Entire scenes or selected quadrilaterals may be rectified. Resampling through nearest …

Remote Sensing Technology - A Look To The Future, David Landgrebe

LARS Symposia

If one is bothered by the possibility of being wrong perhaps one of the most risky things to do is to attempt to predict future directions of technology. However, in these days of extremely limited resources, good planning for development is essential to get the greatest bang for the buck spent on technology development. Such a plan must be based upon some anticipation of the direction that development will go. Thus, one must attempt to project both the potential for and direction of the future development of a technology. It is important to know at any given time what one's …

Algorithmic Progress In Solving Partial Differential Equations, John R. Rice

Department of Computer Science Technical Reports

No abstract provided.

Machine Estimation Of Timber Volumes For Use In Sampling Surveys, Jan W. Van Roessel

LARS Symposia

The digital timber volume estimation method was developed primarily for use with Landsat MSS scanner data. The technique makes use of a vector field clustering algorithm, nearest neighbor classification, and regression analysis. When such a technique is to be applied to reduce the cost for a given level of precision in a forest inventory, the interface between sampling methods and the digital estimation model must be considered. The candidate models and sampling methods must be evaluated using test data as closely related to actual circumstances as possible.

The Use Of Spatial Characteristics For The Improvement Of Multispectral Classification Of Remotely Sensed Data, D. J. Wiersma, D. Landgrebe

LARS Symposia

Two parallel and overlapping approaches to classification of remotely sensed data with the aid of spatial information are underway at the present time. The image processing approach attempts to model after the human visual system, while the second approach is primarily numerical. The technique of texture features, representing the image processing approach, and the sample classifier ECHO, representing the numerical approach are compared. The numerical approach is demonstrated to be superior in classification accuracy as well as being more efficient computationally.

Landsat Signature Development Program, Royce N. Hall, Ken G. Mcguire, Roy A. Bland

LARS Symposia

The LANDSAT Signature Development Program, LSDP, is designed to produce an unsupervised classification of a scene from a LANDSAT tape. This classification is based on the clustering tendencies of the multispectral scanner data processed from the scene. The program will generate a character map that, by identifying each of the general classes of surface features extracted from the scene data with a specific line printer symbols, indicates the approximate locations and distributions of these general classes within the scene.

Also provided with the character map are a number of tables each of which describes either some aspect of the spectral …

A Real Time Freeze Prediction Model Based Upon Remotely Sensed Surface Temperatures, R. A. Sutherland, J. F. Bartholic

LARS Symposia

A mathematical model based on a numerical solution to the earth-air interface energy flux density equation is described. The model uses synoptic information, real time satellite data and standard meteorological measurements at key locations to produce short-range air and surface temperature predictions for the Florida peninsula during critical freeze nights. A statistical approach is then used to produce a detailed lattice of temperatures with the values from the key locations. The lattice of values is used to produce a thermal map of the Florida peninsula that is displayed on a television screen in a format identical to that used presently …

The Use Of Skewed Speed Distributions To Locate Points Of High Accident Potential On Low Volume Two-Lane Rural Highways, Robert J. Krzeminski

JTRP Technical Reports

No abstract provided.

Using A Programmable Calculator To Introduce Fundamental Concepts Of Assembly Language Programming, H. D. Schwetman

Department of Computer Science Technical Reports

No abstract provided.

The Dependence Of Operating System Size Upon Allocatable Resources, Atilla Elci

Department of Computer Science Technical Reports

No abstract provided.

The Hodie Method: A Brief Introduction With Summary Of Computational Properties, Robert E. Lynch, John R. Rice

Department of Computer Science Technical Reports

No abstract provided.

An Experiment Comparing Fortran Programming Times With The Software Physics Hypothesis, R. D. Gordon, M. H. Halstead

Department of Computer Science Technical Reports

No abstract provided.

Algorithm - Adapt, Adaptive Smooth Curve Fitting, John R. Rice

Department of Computer Science Technical Reports

No abstract provided.

Remarks On Piecewise Polynomial Approximation, John R. Rice

Department of Computer Science Technical Reports

No abstract provided.

Selection Of File Organization Using An Analytic Model, S. B. Yao, A. G. Merten

Department of Computer Science Technical Reports

No abstract provided.

Reorganization Points For File Designs With Nonlinear Processing Costs, K. Sundar Das, T. J. Teorey, S. B. Yao

Department of Computer Science Technical Reports

No abstract provided.

Some Insights Into Deterministic Scheduling Problems Involving Multiple Resources And Preemption, K. Omahen

Department of Computer Science Technical Reports

No abstract provided.

An Endogenous Priority Model For Load Control In Combined Batch—Interactive Computer Systems, Carl E. Landwehr

Department of Computer Science Technical Reports

No abstract provided.

The Computation And Use Of Optimal Paging Curves, Peter J. Denning

Department of Computer Science Technical Reports

No abstract provided.

A Software Physics Analysis Of Akiyama's Debugging Data, Yasao Funami, M. H. Halstead

Department of Computer Science Technical Reports

No abstract provided.