Digital Commons Network^™

Solution Of Gas Pulsation Equations In Compressor Suction And Discharge Lines By Mixed-Mode Approach, S. M. Hai

International Compressor Engineering Conference

No abstract provided.

Power Requirements And Associated Effects Of Reciprocating Compressor Cylinder Ends Deactivated By Internal Bypassing, W. Hartwick

International Compressor Engineering Conference

No abstract provided.

Motion Simulation Of Wankel Type Compressors By Computer Graphics, R. W. Colsher, R. A. Leemhuis, W. Soedel

International Compressor Engineering Conference

No abstract provided.

Hydrodynamic Lubrication Of Sliding Vanes, H. Platts

International Compressor Engineering Conference

No abstract provided.

Prediction Of Heat And Mass Transfer During Compression In Reciprocating Compressors, M. S. Chong, H. C. Watson

International Compressor Engineering Conference

No abstract provided.

On The Dynamic Analysis And Evaluation Of Compressor Mufflers, R. Singh, T. Katra

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.

Computer Controlled Optimization Of A Rotary Vane Compressor, L. Lafrance, J. F. Hamilton

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.

Verifying The Reliability Of Hermetically Sealed Compressors During Design With Special Regard To Wear Resistance, A. Lorenz, D. Rochhausen

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.

Resource Inventory Using Landsat Data For Areawide Water Quality Planning, Roger N. Schecter

LARS Symposia

As part of the national effort to improve water quality, Section 208 of the Federal Water Pollution Control Act Amendments of 1972 provides regional planning agencies with the opportunity and funds to conduct areawide water quality management studies. The Triangle J Council of Governments (Triangle J) was the first regional planning agency to receive funds to conduct such a study. Triangle J's 208 work plan focuses on the interrelationships of water quality, land use, and environmental resources with the generation and evaluation of alternatives for solving point and non-point source water quality problems.

Triangle J utilized LANDSAT imagery to provide …

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 …

The Tasselled Cap -- A Graphic Description Of The Spectral-Temporal Development Of Agricultural Crops As Seen By Landsat, R. J. Kauth, G. S. Thomas

LARS Symposia

The time trajectories of agricultural data points as seen in LANDSAT signal space form a pattern suggestive of a tasselled woolly cap. Using this easily visualized three dimensional construct most of the important phenomena of crop development and observation variables are pointed out, named, discussed and measured. The important crop phenomena described are the distribution of signals from bare soil, the processes of green development, of yellow development, of shadowing and of harvesting. The important external variables include view angle, sun angle, atmospheric haze, and atmospheric water vapor.

The development of a quantitative picture of the tasselled cap depends upon …

The Earth Resources Interactive Processing System (Erips) Image Data Access Method (Idam), A. E. Pape, D. L. Truitt

LARS Symposia

The Image Data Access Method (IDAM) was developed for NASA at the Johnson Space Center as the access method for the Earth Resources Interactive Processing System (ERIPS). It was designed to satisfy the need for an image data storage technique which is very efficient with storage space and data access time, but which also provides direct retrieval of all of the image data and easy programmer utilization. A set of eight user macros have been provided which satisfy the utilization requirement, and the result has proven to be a very successful image data storage and retrieval technique.

Analysis Of Geophysical Remote Sensing Data Using Multivariate Pattern Recognition Techniques, Paul E. Anuta, Hans Hauska, Donald W. Levandowski

LARS Symposia

Multivariate statistical pattern recognition techniques have been widely used in the analysis of multispectral scanner remote sensing data for crop surveys, forest mapping, land use surveys and in many other applications. These applications are restricted basically to surface cover reflectance and emissivity phenomena. In the study described in this paper multivariate analysis techniques were applied to geophysical remote sensing data which measures phenomena occurring beneath the surface of the earth. Three types of geophysical data: magnetic anomaly, induced pulse transient, and gamma ray data were digitized, registered and analyzed to observe relationships to known geology. In addition several types of …

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 …

Signature Extension Through The Application Of Cluster Matching Algorithms To Determine Appropriate Signature Transformations, Peter F. Lambeck, Daniel P. Rice

LARS Symposia

Signature extension is a process intended to increase the spatial-temporal range over which a set of training statistics can be used to classify data without significant loss of recognition accuracy. The goal of signature extension is to minimize the requirements for collecting ground truth and extracting training statistics, thus reducing the costs and time delays associated with those procedures. Signature extension would then help to provide timely and cost-effective classification over extensive land areas, including remote areas for which ground truth information may not be readily available.

Many current signature extension techniques are based on a transformation of training statistics …

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 …

Kandidats Image Processing System, Robert M. Haralick, Gary J. Minden, Dale R. Johnson, Amrendra Singh, William F. Bryant, Craig A. Paul

LARS Symposia

KANDIDATS is a comprehensive digital image processing system that interacts with the user at a command string level. It includes prompting for parameter input and checks user input for errors. Image analyses available in KANDIDATS consist of utility functions, image transform operations, spatial clustering, and Bayesian classification. The versatility and capabilities of KANDIDATS arise from a modular programming structure and file structure. These attributes allow processing of images that are a few thousand rows by a few thousand columns in a minicomputer system with only 32 K words of main memory.

Tree System Approach For Landsat Data Interpretation, R. Y. Li, K. S. Fu

LARS Symposia

This paper describes a tree system approach which interpretates highways and rivers from LANDSAT pictures. The basic definitions of tree grammars and tree automaton and a grammatical inference procedure are first introduced. The interpretation process is conceived as a process of continuous verification of the hypothesized descriptions of objects in the picture. The LANDSAT imagery map of Lafayette, Indiana is used as a training data set and tree grammar is inferred from the interpretation process. The versatility of this set of syntactic rules is tested on a different data set and the initial results are reported.

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 …

Stratification Of Landsat Data By Clustering, Marvin E. Bauer, Barbara J. Davis

LARS Symposia

Full realization of the potential advantages of the synoptic coverage provided by Landsat will require the development and use of data analysis techniques which take into account the large variation and diversity of patterns found over many Landsat scenes. Stratification of the scene into units which, are internally homogeneous is recommended as a first step in the analysis of data for whole or multiple frames of Landsat data. The use of clustering as an objective and efficient method of dividing scenes into areas which are spectrally similar (strata) is discussed and initial results, including classification performances and comparison of spectral …

University Education In Remote Sensing: Ill-Defined And Ill-Equipped, Stanley A. Morain

LARS Symposia

Training in remote sensing, like that for chemistry and physics from which it draws, demands a "hands-on" experience by students. Explosive growth in the field over the past decade has left instructors and professors in the untenable position of having inadequate instructional aids. Moreover, the extraordinary breadth of sensor applications, both proven and feasible, has led to almost ad hoc decisions as to what should be included in current course work. This ill-defined and ill-equipped status, in the absence of common denominators, results in students whose training is difficult to assess.

Two recent compilations (Morain, Nealey) summarize the current expanse …

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.

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 …

Current Methods And Policies Of The Statistical Reporting Service, Charles E. Caudill

LARS Symposia

The Statistical Reporting Service as the, primary fact-collecting and reporting organization of the U.S. Department of Agriculture is responsible for the national program of crop and livestock estimates. Over time, methodology underlying this program has evolved to the point where its foundation is firmly based on probability sampling, employing both area and list sampling frames. Basic data collected for this program is based on voluntary reporting under a pledge of confidentiality. This places strict limits and restraints on SRS in terms of sharing with other agencies or groups the basic data or even unpublished estimates used or generated in the …

Automatic Detection And Classification Of Infestations Of Crop Insect Pests And Diseases From Infrared Aerial Color Photographs, M. Ali, J. K. Aggarwal

LARS Symposia

This paper describes a system designed to analyze aerial color infrared photographs of citrus orchards. The input to the system is a 35 mm transparency of the infrared aerial photograph mounted in a 3-color film digitizer which is controlled by an XDS 930 computer.

An algorithm locates the outline of each individual tree in the photograph and then cluster analysis is applied. For the trees of a transparency, centre of gravity (C.G.) of the set of these trees is determined and then the distance of each individual tree from C.G. is computed by using an empirical distance function which we …

Stratification Of Landsat Data By Clustering, Marvin E. Bauer, Barbara J. Davis

LARS Technical Reports

Full realization of the potential advantages of the synoptic coverage provided by Landsat will require the development and use of data analysis techniques which take into account the large variation and diversity of patterns found over many Landsat scenes. Stratification of the scene into units which are internally homogeneous is recommended as a first step in the analysis of data for whole or multiple frames of Landsat data. The use of clustering as an objective and efficient method of dividing scenes into areas which are spectrally similar (strata) is discussed and initial results, including classification performances and comparisons of spectral …