A map-guided approach to interpretation of remotely sensed imagery is described, with emphasis on applications involving continuous monitoring of predetermined ground sites. Geometric correspondence between a sensed i...
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A map-guided approach to interpretation of remotely sensed imagery is described, with emphasis on applications involving continuous monitoring of predetermined ground sites. Geometric correspondence between a sensed image and a symbolic reference map is established in an initial stage of processing by adjusting parameters of a sensor model so that image features predicted from the map optimally match corresponding features extracted from the sensed image. Information in the map is then used to constrain where to look in an image and what to look for. With such constraints, previously intractable remotesensing tasks can become feasible, even easy, to automate.
These conference proceedings contain 228 papers of which 4 appear as abstracts. Two hundred-twelve papers are indexed separately. Topics covered include: statistical methods;cluster analysis;syntactic methods;learning...
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These conference proceedings contain 228 papers of which 4 appear as abstracts. Two hundred-twelve papers are indexed separately. Topics covered include: statistical methods;cluster analysis;syntactic methods;learning algorithms;perceptual modeling;theoretical problems;image restoration and transformation;texture, region and shape;feature extraction and picture description;analysis of image sequence;scene analysis;character recognition;biomedical applications;remotesensing;industrial applications;speech;and special hardwares and systems.
Computerized imageprocessing represents a level of technology sufficiently advanced that the Agency for International Development (AID) has had years of problems attempting to set up the necessary equipment support. ...
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Computerized imageprocessing represents a level of technology sufficiently advanced that the Agency for International Development (AID) has had years of problems attempting to set up the necessary equipment support. The theory of patternrecognition and various software algorithms, such as maximum likelihood, k th nearest neighbor, and supervised clustering, are difficult to teach to remotesensing resource managers and technicians with limited education in mathematics. Computer hardware is relatively complex and, in addition to requiring programming skills, both procedural level, as well as operating systems, also requires training in electronic ″trouble-shooting″ and computer maintenance to keep systems in operation.
The proceedings contain 21 papers. The topics discussed include: optical patternrecognition by diffraction pattern sampling;coherent optical patternrecognition system for optical word recognition on a microfilm data...
The proceedings contain 21 papers. The topics discussed include: optical patternrecognition by diffraction pattern sampling;coherent optical patternrecognition system for optical word recognition on a microfilm data base;spectral feature classification and spatial patternrecognition;the inspectron: an automatic optical printed circuit board (PCB) inspector;optical autocorrelation of diffuse surfaces;statistical and deterministic aspects of multisensor optical imagepatternrecognition;patternrecognition of microscopic objects;image registration and differencing by coherent optical patternrecognition;optical patternrecognition using average filters to produce discriminant hypersurfaces;application of optical filtering to geophysics mapping and remotesensing;and feature enhancement using noncoherent optical processing.
This conference proceedings contains 93 papers. All papers are indexed separately. Topics covered include: patternrecognition theory; industrial applications; edge processing; structural patternrecognition and clust...
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This conference proceedings contains 93 papers. All papers are indexed separately. Topics covered include: patternrecognition theory; industrial applications; edge processing; structural patternrecognition and clustering; applied imagery patternrecognition; curve and shape description; scene analysis; medical applications; texture and mathematical foundations; two dimensional and three dimensional shape description and matching; scene segmentation and interpretation; image coding and curve approximation; and, remotesensing and time-varying imagery.
A description is given of a multi-purpose image-processing system. This system was designed for different applications, for example, medical imageprocessing (thermographic imaging, computer assisted diagnosis, etc. ....
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A description is given of a multi-purpose image-processing system. This system was designed for different applications, for example, medical imageprocessing (thermographic imaging, computer assisted diagnosis, etc. . . ), remotesensing (multispectral analysis and classification, thermal mapping of rivers, etc. . . ) and electron microscope imageprocessing (T. E. M. , noise filtering, patternrecognition, geometrical measurements). The system can be connected on-line to any kind of input and output image-peripheral. The peripherals used now are: TV camera, thermographic camera, flying-spot scanner, flying-spot film recorder, mechanical scanner coupled to an optical processor, refreshed B&W and color display, graphic tablet, magnetic tape and disc.
This paper describes a multi-purpose image-processing system. This system was designed for different applications, for example, medical imageprocessing (thermographic imaging, computer assisted diagnosis, etc...), re...
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These conference proceedings contain 228 papers of which 4 appear as abstracts. Two hundred-twelve papers are indexed separately. Topics covered include: statistical methods; cluster analysis; syntactic methods; learn...
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These conference proceedings contain 228 papers of which 4 appear as abstracts. Two hundred-twelve papers are indexed separately. Topics covered include: statistical methods; cluster analysis; syntactic methods; learning algorithms; perceptual modeling; theoretical problems; image restoration and transformation; texture, region and shape; feature extraction and picture description; analysis of image sequence; scene analysis; character recognition; biomedical applications; remotesensing; industrial applications; speech; and special hardwares and systems.
Automatic or interactive imageprocessing with the aim to detect, localize and classify objects in images is a very important task for automation and inspection in biomedical, industrial, remotesensing and military a...
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A major problem encountered by automatic detection systems is the delineation of boundaries around areas containing features of interest. The computer is often unable to accomplish the detection process alone. Therefo...
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A major problem encountered by automatic detection systems is the delineation of boundaries around areas containing features of interest. The computer is often unable to accomplish the detection process alone. Therefore, it is reasonable to combine the superior patternrecognition abilities of a human being with the computational power of a digital computer to form an interactive system. Such an interactive feature extraction system is discussed. The objective is to generate the photo coordinates for feature boundaries from aerial photographs. The hardware consists of a CDC-6400 sequential computer, a Goodyear STARAN associative array processor, a DEC PDP 11/50 minicomputer, and an image display, as well as digitizing and recording devices.
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