Browsing Cognitive & Neural Systems by Author "Gopal, Sucharita"

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Browsing Cognitive & Neural Systems by Author "Gopal, Sucharita"

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  • Carpenter, Gail A.; Gjaja, Marin N.; Gopal, Sucharita; Markuzon, Natalya; Woodcock, Curtis E. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-03)
    ART and ARTMAP neural networks for adaptive recognition and prediction have been applied to a variety of problems. Applications include parts design retrieval at the Boeing Company, automatic mapping from remote sensing ...
  • Shock, Byron; Carpenter, Gail; Gopal, Sucharita; Woodcock, Curtis (Boston University Computer Science Department, 2001-12)
    The ability to detect and monitor changes in land use is essential for assessment of the sustainability of development. In the next decade, NASA will gather high-resolution multi-spectral and multi-temporal data, which ...
  • Carpenter, Gail A.; Gjaja, Marin N.; Gopal, Sucharita; Woodcock, Curtis (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1999-02)
    ART and ARTMAP neural networks for adaptive recognition and prediction have been applied to a variety of problems, including automatic mapping from remote sensing satellite measurements, parts design retrieval at the Boeing ...
  • Carpenter, Gail A.; Gjaja, Marin N.; Gopal, Sucharita; Woodcock, Curtis E. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-03)
    A new methodology for automatic mapping from Landsat Thematic Mapper (TM) and terrain data, based on the fuzzy ARTMAP neural network, is developed. System capabilities are tested on a challenging remote sensing classification ...
  • Carpenter, Gail A.; Gjaja, Marin N.; Gopal, Sucharita; Woodcock, Curtis E. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-09)
    A new methodology for automatic mapping from Landsat Thematic Mapper (TM) and terrain data, based on the fuzzy ARTMAP neural network, is developed. System capabilities are tested on a challenging remote sensing classification ...
  • Carpenter, Gail; Gopal, Sucharita; Macomber, Scott (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-12)
    This paper describes the application of a neural network method designed to improve the efficiency of map production from remote sensing data. Specifically, the ARTMAP neural network produces vegetation maps of the Sierra ...
  • Carpenter, Gail; Gopal, Sucharita; Shock, Byron; Woodcock, Curtis (Boston University Computer Science Department, 2001-12)
    Detecting and monitoring changes in conditions at the Earth's surface are essential for understanding human impact on the environment and for assessing the sustainability of development. In the next decade, NASA will gather ...
  • Carpenter, Gail; Gopal, Sucharita; Macomber, Scott; Martens, Siegfried; Woodcock, Curtis (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1997-08)
    While most forest maps identify only the dominant vegetation class in delineated stands, individual stands are often better characterized by a mix of vegetation types. Many land management applications, including wildlife ...

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