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Ralph Bernstein

dblp:03/2405 · DBLP profile ↗
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4ranked-venue papers
1as first author
0since 2021 · last 1999
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Environmental and earth informatics · 100%
Computer graphics and multimedia
2 papers
Image and video processing · 84% Multimedia analysis and retrieval · 16%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Environmental and earth informatics › remote sensing
geological remote sensing
0.011985
Evaluation of Landsat thematic mapper imagery for geologic applications · Proc. IEEE 1985
Environmental and earth informatics
remote sensing
0.011985
Evaluation of Landsat thematic mapper imagery for geologic applications · Proc. IEEE 1985
Image and video processing › remote sensing › remote sensing image processing
multispectral image analysis
0.021985
Image processing on the IBM personal computer · Proc. IEEE 1985
Evaluation of Landsat thematic mapper imagery for geologic applications · Proc. IEEE 1985
Multimedia analysis and retrieval
image analysis
0.011985
Image processing on the IBM personal computer · Proc. IEEE 1985

Methods — techniques the papers use, named apart from their topics

principal component analysis · 0.0false color composite · 0.0contrast stretching · 0.0
YearPublicationVenuePosition
1999 A combined analysis to extract objects in remote sensing images
Ralph Bernstein, Vito Di Gesù
Pattern Recognit. Lett.1
1988 Approximate fuzzy C-means (AFCM) cluster analysis of medical Magnetic Resonance Image (MRI) data
Paul J. Chang, Robert L. DeLaPaz, Ralph Bernstein, Jetendra V. Dave
Int. J. Approx. Reason.3
1985 Evaluation of Landsat thematic mapper imagery for geologic applications
abstract
Landsat-4 Thematic Mapper (TM) imagery were enhanced and evaluated for geologic applications in both heavily and sparsely vegetated areas of the San Francisco Bay Region. False color composites of contrast-stretched spectral bands and principal component combinations were found to provide the most lithologic and structural information for geologic interpretation. The 30-m spatial resolution and seven spectral bands of the TM sensor were successfully used to delineate regional geobotanical anomalies, faults, and fractures in the heavily vegetated New Almaden area of the Santa Cruz mountains and regional lithology and structure of the sparsely vegetated Diablo Range. A number of these features have not been previously recognized using conventional aerial and field mapping techniques. Data reduction techniques employed to reduce the effects of band correlation assisted the geologic interpretation in the heavily vegetated areas but were of little use in the sparsely vegetated areas. This work demonstrates the ability of TM imagery to assist in the interpretation of lithologic, structural, and geobotanical features critical to deciphering a region's geology or mineral potential.
Robert D. Lees, William R. Lettis, Ralph Bernstein
Proc. IEEE3
1985 Image processing on the IBM personal computer
abstract
The Palo Alto Scientific Center has developed an experimental image processing system based upon the IBM Personal Computer. It provides a variety of commonly used image processing functions in an environment that connects the programs through a menu convenient for both casual and experienced users. The System is implemented using a compiled BASIC program coupled with assembly language subroutines. Its performance is impressive, providing interactive multispectral image processing and image analysis capability for small images.
H. Joseph Myers, Ralph Bernstein
Proc. IEEE2