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  • 1
    Publication Date: 2019-06-28
    Description: By using two SAR antennas spaced a known distance, B, and oriented at substantially the same look angle to illuminate the same target area, pixel data from the two antennas may be compared in phase to determine a difference delta phi from which a slant angle theta is determined for each pixel point from an equation Delta phi = (2 pi B/lambda)sin(theta - alpha), where lambda is the radar wavelength and alpha is the roll angle of the aircraft. The height, h, of each pixel point from the aircraft is determined from the equation h = R cos theta, and from the known altitude, a, of the aircraft above sea level, the altitude (elevation), a', of each point is determined from the difference a - h. This elevation data may be displayed with the SAR image by, for example, quantizing the elevation at increments of 100 feet starting at sea level, and color coding pixels of the same quantized elevation. The distance, d, of each pixel from the ground track of the aircraft used for the display may be determined more accurately from the equation d = R sin theta.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Format: application/pdf
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  • 2
    Publication Date: 2019-06-28
    Description: Basic engineering data regarding the Interim Digital SAR Processor (IDP) and the digitally correlated Seasat synthetic aperature radar (SAR) imagery are presented. The correlation function and IDP hardware/software configuration are described, and a preliminary performance assessment presented. The geometric and radiometric characteristics, with special emphasis on those peculiar to the IDP produced imagery, are described.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA-CR-164279 , JPL-PUB-81-26
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  • 3
    Publication Date: 2019-06-27
    Description: A method of measuring temperatures of selected ground-cover types using remotely sensed multispectral scanner data and a layered classification approach is described. A brief review of radiation theory is presented to show that for the wavelength bands and temperature ranges involved in remote sensing applications, a linear calibration function can be satisfactorily utilized. An example of the application of the layered classifier for temperature mapping of water is shown.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: IEEE Transactions on Geoscience Electronics; GE-14; Apr. 197
    Format: text
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  • 4
    Publication Date: 2019-06-27
    Description: The single-stage method of pattern classification utilizes all available features in a single test which assigns the unknown to a category according to a specific decision strategy (such as the maximum likelihood strategy). The layered classifier classifies the unknown through a sequence of tests, each of which may be dependent on the outcome of previous tests. Although the layered classifier was originally investigated as a means of improving classification accuracy and efficiency, it was found that in the context of remote sensing data analysis, other advantages also accrue due to many of the special characteristics of both the data and the applications pursued. The layered classifier method and several of the diverse applications of this approach are discussed.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: I-1 , NASA. Lyndon B. Johnson Space Center NASA Earth Resources Surv. Symp., Vol. 1-B; p 1087-1097
    Format: text
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  • 5
    Publication Date: 2019-06-27
    Description: The layered classifier method is outlined and several applications to pattern classification for which the approach is suited are discussed.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA-CR-144533 , LARS-IN-061275
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  • 6
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    In:  Other Sources
    Publication Date: 2019-06-28
    Description: A digital processing algorithm and its associated system design for producing images from SEASAT synthetic aperture radar (SAR) data is described. The proposed system uses the fast Fourier transform approach to perform the two dimensional correlation process. The range migration problem can be alleviated by approximating the locus of echoes from a point target by several linear segments. Data corresponding to each segment are correlated separately and the results are coherently summed to produce full resolution images. This processing approach exhibits high computation efficiency and simple processing control functions. It is particularly attractive for software implementation based on general purpose computers. Results of this implementation and examples of digitally correlated SEASAT SAR imagery are discussed.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: ESA Instrumentation for Preprocessing of SAR Data to Image Form; p 7-13
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  • 7
    Publication Date: 2019-06-27
    Description: A class of multistage decision tree classifiers is proposed and studied relative to the classification of multispectral remotely sensed data. The decision tree classifiers are shown to have the potential for improving both the classification accuracy and the computation efficiency. Dimensionality in pattern recognition is discussed and two theorems on the lower bound of logic computation for multiclass classification are derived. The automatic or optimization approach is emphasized. Experimental results on real data are reported, which clearly demonstrate the usefulness of decision tree classifiers.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA-CR-141930 , LARS-INFORM-NOTE-090174 , TR-EE-75-17
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  • 8
    Publication Date: 2019-07-13
    Description: This paper comprises a description of Synthetic Aperture Radar (SAR) processing approaches and a discussion on the processor complexity measures. The objective of the paper is to provide basic system knowledge on the design of a real-time signal processor for spaceborne synthetic aperture radar. A review of SAR sensor performance capability and general electronic processing approaches will be given first. The discussion of SAR processor complexity is divided into two areas: the arithmetic complexity and the control complexity. A generalized treatment of these subjects is provided. The results could be readily extended to special cases.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Seminar on Real-time signal processing III; Jul 29, 1980 - Jul 30, 1980; San Diego, CA
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  • 9
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    Publication Date: 2019-07-13
    Description: This paper describes a digital processing algorithm and its associated system design for producing images from SEASAT Synthetic Aperture Radar (SAR) data. The proposed system uses the fast Fourier transform approach to perform the two-dimensional correlation process. The range migration problem, which is often a major obstacle to efficient processing, can be alleviated by approximating the locus of echoes from a point target by several linear segments. SAR data corresponding to each segment is correlated separately, and the results are coherently summed to produce full-resolution images. This processing approach exhibits high computation efficiency and simple processing control functions. It is particularly attractive for software implementation based on general purpose computer. Results of this implementation and examples of digitally correlated SEASAT SAR imagery are discussed
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: In: International Radar Conference; Apr 28, 1980 - Apr 30, 1980; Arlington, VA
    Format: text
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