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  • 1
    Electronic Resource
    Electronic Resource
    Automatic delineation of drainage basins within digital elevation data using the topographic primal sketch (1990)
    Springer
    Mathematical geology 22 (1990), S. 189-209 
    Details
    ISSN: 1573-8868
    Keywords: artificial intelligence ; topographic analysis ; image analysis ; drainage networks
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract A new technique for automatic delineation of drainage basin perimeters within digital elevation data is described which applies the topographic primal sketch to digital terrain data, and is much more natural and much more efficient than usual methods that rely upon moving a window over the array of data. This method is able to find drainage channels, mark water flow direction, and recover drainage basin areas. Results appear to be comparable to drainage patterns which can be interpreted visually from contours of the elevation data.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00891823
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    Paper (German National Licenses)
    Fulltext
  • 2
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    Image segmentation survey (1982)
    In:  Other Sources
    Details
    Publication Date: 2011-08-18
    Description: The methodologies and capabilities of image segmentation techniques are reviewed. Single linkage schemes, hybrid linkage schemes, centroid linkage schemes, histogram mode seeking, spatial clustering, and split and merge schemes are addressed.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Texas A and M Univ. Proc. of the NASA Workshop on Image Anal.; p 7-16
    Format: text
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  • 3
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    Relative Elevation Determination from LANDSAT Imagery (1983)
    In:  CASI
    Details
    Publication Date: 2014-09-11
    Description: In LANDSAT imagery, spectral and spatial information can be used to detect the drainage network as well as the relative elevation model in mountainous terrain. To do this, the mixed information of material reflectance and topographic modulation in the original LANDSAT imagery must be first separated. From the material reflectance information, big visible rivers can be detected. From the topographic modulation information, ridges and valleys can be detected and assigned relative elevations. Finally, a relative elevation model can be generated by interpolating values for nonridge and nonvalley pixels.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Texas A and M Univ. Proc. of the NASA Symp. on Math. Pattern Recognition and Image Analysis; p 3-51
    Format: text
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  • 4
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    Use of thermal-infrared imagery in ground-water investigations in Montana (1977)
    In:  CASI
    Details
    Publication Date: 2016-06-07
    Description: Thermal infrared imagery was used to locate ground-water inflow along three streams and one lake in Montana. The thermal scanner used in May 1972, March 1973, and November 1975 was mounted in a twin-engined aircraft. On the 1973 and 1975 flights, the data were recorded in an analog format on magnetic tape in flight, later were converted to digital format, and were computer processed using an assignment of patterns to indicate differences in water temperature. Output from the image processing program was converted to a temperature map having an isotherm spacing of 0.5 C. Computerization was found to be the most efficient method to manipulate data from lakes, large rivers, and narrow sinuous streams.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: ERIM Proc. of the 11th Intern. Symp. on Remote Sensing of Environment, Vol. 2; p 1161-1170
    Format: application/pdf
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  • 5
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    The digital step edge (1982)
    In:  CASI
    Details
    Publication Date: 2016-06-07
    Description: The facet model was used to accomplish step edge detection. The essence of the facet model is that any analysis made on the basis of the pixel values in some neighborhood has its final authoritative interpretation relative to the underlying grey tone intensity surface of which the neighborhood pixel values are observed noisy samples. Pixels which are part of regions have simple grey tone intensity surfaces over their areas. Pixels which have an edge in them have complex grey tone intensity surfaces over their areas. Specially, an edge moves through a pixel only if there is some point in the pixel's area having a zero crossing of the second directional derivative taken in the direction of a non-zero gradient at the pixel's center. To determine whether or not a pixel should be marked as a step edge pixel, its underlying grey tone intensity surface was estimated on the basis of the pixels in its neighborhood.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: JPL Proc. of the NASA Workshop on Registration and Rectification; p 251-303
    Format: application/pdf
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  • 6
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    Spatial reasoning to determine stream network from LANDSAT imagery (1983)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: In LANDSAT imagery, spectral and spatial information can be used to detect the drainage network as well as the relative elevation model in mountainous terrain. To do this, mixed information of material reflectance in the original LANDSAT imagery must be separated. From the material reflectance information, big visible rivers can be detected. From the topographic modulation information, ridges and valleys can be detected and assigned relative elevations. A complete elevation model can be generated by interpolating values for nonridge and non-valley pixels. The small streams not detectable from material reflectance information can be located in the valleys with flow direction known from the elevation model. Finally, the flow directions of big visible rivers can be inferred by solving a consistent labeling problem based on a set of spatial reasoning constraints.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E84-10063 , NASA-CR-175123 , NAS 1.26:175123
    Format: application/pdf
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  • 7
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    A comprehensive data processing plan for crop calendar MSS signature development from satellite imagery (1976)
    In:  CASI
    Details
    Publication Date: 2019-06-27
    Description: There are no author-identified significant results in this report.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E76-10483 , NASA-CR-148790 , TR-286-3 , PR-3
    Format: application/pdf
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  • 8
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    Documentation of procedures for textural/spatial pattern recognition techniques (1976)
    In:  CASI
    Details
    Publication Date: 2019-06-27
    Description: A C-130 aircraft was flown over the Sam Houston National Forest on March 21, 1973 at 10,000 feet altitude to collect multispectral scanner (MSS) data. Existing textural and spatial automatic processing techniques were used to classify the MSS imagery into specified timber categories. Several classification experiments were performed on this data using features selected from the spectral bands and a textural transform band. The results indicate that (1) spatial post-processing a classified image can cut the classification error to 1/2 or 1/3 of its initial value, (2) spatial post-processing the classified image using combined spectral and textural features produces a resulting image with less error than post-processing a classified image using only spectral features and (3) classification without spatial post processing using the combined spectral textural features tends to produce about the same error rate as a classification without spatial post processing using only spectral features.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA-CR-150995 , RSL-TR-278-1
    Format: application/pdf
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  • 9
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    A comprehensive data processing plan for crop calendar MSS signature development from satellite imagery (1976)
    In:  CASI
    Details
    Publication Date: 2019-06-27
    Description: There are no author-identified significant results in this report.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E76-10343 , NASA-CR-147235 , TR-286-2 , PR-2
    Format: application/pdf
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  • 10
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    A comprehensive data processing plan for crop calendar MSS signature development from satellite imagery: Crop identification using vegetation phenology (1978)
    In:  CASI
    Details
    Publication Date: 2019-06-27
    Description: The author has identified the following significant results. The phenological method of crop identification involves the creation of crop signatures which characterize multispectral observations as phenological growth states. The phenological signature models spectral reflectance explicitly as a function of crop maturity rather than as a function of date. A correspondence of time to growth state is established which minimizes the smallest difference between the given multispectral multitemporal vector and a category mean vector. The application of the method to the identification of winter wheat and corn shows (1) the method is capable of discriminating crop type with about the same degree of accuracy as more traditional classifiers; (2) the use of LANDSAT observations on two or more dates yields better results than the use of a single observation; and (3) some potential is demonstrated for labeling the degree of maturity of the crop, as well as the crop type.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E79-10001 , NASA-CR-157896 , REPT-286-5
    Format: application/pdf
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