Information Extraction, SNR Improvement, and Data Compression in Multispectral Imagery
IEEE Transactions on CommunicationsPublished 1 October 1973
P. J. Ready, P. A. Wintz
Citations175
SJR quartileQ1
SJR score3.49
SNIP2.62
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
The Karhunen-Loeve transformation is applied to multispectral data for information extraction, SNR improvement, and data compression and provides a set of uncorrelated principal component images very useful in automatic classification and human interpretation.
Abstract
The Karhunen-Loève transformation is applied to multispectral data for information extraction, SNR improvement, and data compression. When applied in the spectral dimension, the transform provides a set of uncorrelated principal component images very useful in automatic classification and human interpretation. Significant improvements in SNR and estimates of the noise variance are also shown to be possible in the spectral dimension. Data compression results using the transform on one-, two-, and three-dimensional blocks over three general types of terrain are presented.
Keywords
Computer Science
Proceedings of the IEEEHadamard transform image coding
656 Citations1969William K. Pratt, Julius Kane +1 more
A high-speed computational algorithm, similar to the fast Fourier transform algorithm, which performs the Hadamard transformation has been developed, which provides a potential toleration to channel errors and the possibility of reduced bandwidth transmission.
IEEE Transactions on ComputersApplication of the Karhunen-Loève Expansion to Feature Selection and Ordering
537 Citations1970Keinosuke Fukunaga, Warren Koontz
A method is developed herein to use the Karhunen-Loeve expansion to extract features relevant to classification of a sample taken from one of two pattern classes.
Proceedings of the IEEETransform picture coding
289 Citations1972P. A. Wintz
A survey of all known applications of transformation, quantization, and coding techniques to monochromatic image coding is presented along with a summary of the dependence of performance on the basic system parameters and some conclusions.
IRE Transactions on Communications SystemsImage Coding by Linear Transformation and Block Quantization
156 Citations1971A. Habibi, P. A. Wintz
The feasibility of coding two-dimensional data arrays by first performing a two- dimensional linear transformation on the data and then block quantizing the transformed data is investigated.
IEEE Transactions on Information TheoryA linear coding for transmitting a set of correlated signals
118 Citations1956H. Kramer, M. Mathews
The coding theory can be extended to include the minimization of the expectation of any positive definite quadratic function of the differences between the original and reconstructed signals.
IEEE Transactions on Communication TechnologySpatial Transform Coding of Color Images
107 Citations1971William K. Pratt
The transform-coding concept has been applied to the coding of color images represented by three primary color planes of data and it is shown that, by transform coding, the chrominance content of a color image can be coded with an average of 1.0 bits per element or less without serious degradation.
IEEE Transactions on Communication TechnologyImage Coding by Adaptive Block Quantization
72 Citations1971M. Tasto, P. A. Wintz
The adaptive block quantizer is proposed for coding data sources that emit a sequence of correlated real numbers with known first- and second-order statistics, and the system is optimized relative to both the mean square error and the subjective quality of the reconstructed data.
Proceedings of the IEEEDigital image-processing activities in remote sensing for earth resources
46 Citations1972George Nagy
An attempt is made to identify among the welter of "promising" results areas of tangible achievement as well as likely bottlenecks, and to assess the contribution to be expected of digital image-processing methods in both operational and experimental utilization of the forthcoming torrent of data.
NASA Technical Reports Server (NASA)The minimum distance approach to classification
38 Citations1971A. G. Wacker, D. A. Landgrebe
It is shown that minimum distance classification, using density estimators and Kullback-Leibler numbers as the distance measure, is equivalent to a form of maximum likelihood sample classification in the parameter space.
Purdue e-Pubs (Purdue University)Multispectral data compression through transform coding and block quantization
12 Citations1972P. J. Ready, P. A. Wintz
Transform coding and block quantization techniques are applied to multispectral aircraft scanner data, and digitized satellite imagery, and an appropriate mathematical model proposed.