Digital Commons Network^™

Single-Class Classification, T. C. Minter

LARS Symposia

Often, when classifying multispectral data, only one class or crop is of interest, such as wheat in the Large Area Crop Inventory Experiment (LACIE). Usual procedures for designing a Bayes classifier require that labeled training samples and therefore ground truth be available for the "class of interest" plus all confusion classes defined by the multispectral data. This paper will consider the problem of designing a two-class Bayes classifier which will classify data into the "class of interest" or the "other" classes but will require only labeled training samples from the "class of interest" to design the classifier. Thus, this classifier …

Fisheries Utilization Of Remotely Sensed Data, Thomas M. Vamelous, Thomas D. Leming, Andrew J. Kemmerer, Kenneth J. Savastano

LARS Symposia

The Fisheries Engineering Laboratory has conducted experiments in conjunction with ERTS-1 and Skylab-3 overflights, and is initiating an experiment using LANDSAT data acquisition systems. Data analyses have demonstrated relationships between remotely sensed oceanographic conditions and the distribution and abundance of specific living marine resources. These correlations have been used as the basis for predictive models which, when validated and refined, may benefit the fishing industry and the biological community.

Resolution Enhancement Of Erts Imagery, C. D. Mcgillem, T. E. Riemer, G. Mobasseri

LARS Symposia

A method is described for combined interpolation and enhancement of ERTS multispectral scanner data sets. Previous research has shown that good enhancement is most easily achieved when there are a large number of data points contained within the radius of gyration of the system point spread function. This requirement can be met using ERTS data by interpolating the data before enhancement. By varying the interpolation scale factor the data set can be empirically matched to a precalculated optimum restoration filter. Once the proper match of data and filter has been found the enhancement can be carried out directly or the …

Application Of The Scheffe' Method Of Multiple Comparison To Determination Of Class Separability, Randall W. Thomas, George A. Vasick

LARS Symposia

Consistent measures of class separability are of upmost importance in multiclass, multifeature discriminant analysis. Divergence procedures, based on the likelihood ratios and conditional probability distributions under Gaussian assumptions, have constituted the common approach to the class separability problem. A significant limitation, however, presently exists in divergence statistics. This limitation results from the fact that the same divergence value will represent different degrees of separability among the possible class pairs considered. In order to develop a statistic that will provide a consistent measure of separability for any possible pair of classes, the Scheffe' (1959) method of multiple comparisons has been adapted …

Analysis Of Spectral Bands In Comparing Different Multispectral Scanners, J. N. P. Beers

LARS Symposia

No abstract provided.

The Midas Processor, F. J. Kriegler, M. Gordon, R. Mclaughlin, R. J. Marshall

LARS Symposia

No abstract provided.

Machine Processing Of Remotely Sensed Data For Change Detection, Stephen G. Luther, Michael L. Yanner

LARS Symposia

Remote sensing can furnish a quantitative method for detecting change in earth surface features. LANDSAT-1 MSS data was temporally overlayed and geometrically corrected. Data from one date was then classified and a LARSYS results tape produced. Data from the second date was then similarly processed. Classifications for the same geographical area were then available for two (or more) dates. These classifications were then compared on a point by point basis by the computer to determine the type and location Of changes occurring for the intervening period between data sets.

Two applications of this post-classification change detection technique were made. The …

Automatic Classification Of Aircraft And Satellite Images Using Mixed Integer Programming, M. Rebollo, L. F. Escudero

LARS Symposia

No abstract provided.

Recursive Estimation Of Proportions In Earth Observations, Demetrios Kazakos

LARS Symposia

In Earth observations problems, we usually have the situation of knowing accurately the probability density functions of the several classes of interest, and we need to classify a set of observations with unknown class proportions.

The observations are in n-dimensional space, where n is the number of spectral bands.

Two recursive algorithms for classifying the observations and estimating the prior probabilities are described. The first one achieves simultaneous classification of pixels and estimation of prior probabilities (or proportions) and the second one estimates the proportions in a recursive fashion.

There is a similarity of the second approach to maximum likelihood …

Software For Geometrical Transformation Of Digital Data Used For Remote Sensing Applications, Nancy A. Jones, J. D. Nichols, Frank G. Harvey, Paul R. Ritter, Michael J. Gialdini

LARS Symposia

The Remote Sensing Research Program University of California at Berkeley has developed a regression-based XY transform methodology and supporting computer software to accurately and cost-effectively transform one- and two-dimensional digital data from one geometrical coordinate system to another. First, control points common to both the original coordinate system and the desired output system are located with respect to each system. Second. the control points and the desired equation form are input to a statistical package program which performs a least-squares regression analysis of the point; to yield transform equation coefficients. Third, the original coordinates of a one-dimensional line segment or …

Growing Christmas Trees In Indiana, Edgar J. Lott

Historical Documents of the Purdue Cooperative Extension Service Archive

No abstract provided.

The Nutrition And Feeding Of Horses, R. A. Battaglia

Historical Documents of the Purdue Cooperative Extension Service Archive

No abstract provided.

Dhir Surprise Test Requirements, W. M. Dillon

Historical Documents of the Purdue Cooperative Extension Service Archive

No abstract provided.

Optimal Compression Of Parsing Tables In A Parsergenerating System, V. B. Schneider, M. D. Mickunas

Department of Computer Science Technical Reports

No abstract provided.

Characterizing The Orders Changes By Program Translators, Margaret Shay, Paul Young

Department of Computer Science Technical Reports

No abstract provided.

An L=S Criterion For Optimal Multiprogramming, Peter J. Denning, Kevin C. Kahn

Department of Computer Science Technical Reports

No abstract provided.

Beginners Guide To Procsy, C. Anderson, K. Apeland, L. Breisacher, C. Canfield, T. Reiter

Department of Computer Science Technical Reports

No abstract provided.

Analysis & Applications Of The Delay Cycle For The M/M/C Queueing System, K. Omahen, V. Marathe

Department of Computer Science Technical Reports

No abstract provided.

Speedup In Parallel Algorithms For Adaptive Quadratures, James M. Lemme, John R. Rice

Department of Computer Science Technical Reports

No abstract provided.

Using The Methodology Of Natural Science To Understand Software, M. H. Halstead

Department of Computer Science Technical Reports

No abstract provided.

High Order Fast Elliptic Equation Solver, Elias N. Houstis, T. S. Papatheordorou

Department of Computer Science Technical Reports

No abstract provided.

The Difficulty Of Optimum Index Solution, Douglas E. Comer

Department of Computer Science Technical Reports

No abstract provided.

Economic Returns From Indiana Demonstration Woodlands, W. L. Fix, R. M. Nacker

Historical Documents of the Purdue Cooperative Extension Service Archive

No abstract provided.

Assisting The Beef Cow At Calving Time, W. L. Singleton, L. A. Nelson

Historical Documents of the Purdue Cooperative Extension Service Archive

No abstract provided.

A Queueing Model For A Multiprocessor System With Partitioned Memory, K. Omahen, V. Marathe

Department of Computer Science Technical Reports

No abstract provided.

A Teaching Aid To Simulate The Requirements Statement Process, Thomas I. M. Ho, Benn Konsynski, J. F. Nunamaker

Department of Computer Science Technical Reports

No abstract provided.

Development, Evaluation & Selection Of Methods For Elliptic Partial Differential Equations, E. N. Hnoustis, Robert E. Lynch, T. S. Papatheodorou, John R. Rice

Department of Computer Science Technical Reports

No abstract provided.

One Address Computers Are Faster And Use Less Memory Space To Execute Arithmetic Assignment Statements, Victor Schneider, Bradford Wade

Department of Computer Science Technical Reports

No abstract provided.

Pore Size Distribution Of Compacted Soils After Critical Region Drying, Rakhishwar Nath Bhasin

JTRP Technical Reports

No abstract provided.

Stabilization Of Soils For Erosion Control On Construction Sites : Interim Report, George Macha

JTRP Technical Reports

No abstract provided.