Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Sailes K. Sengupta"'
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 38:304-311
The authors' system uses a camera that acquires registered images in six spectral bands and a supervised-learning algorithm to detect metal and plastic land mines. Results show that even with a small sample size, the detection performance is good and
Autor:
Ibrahim Palaz, Sailes K. Sengupta
Here is a state-of-the-art survey of artificial intelligence in modern exploration programs. Focussing on standard exploration procedures, the contributions examine the advantages and pitfalls of using these new techniques, and, in the process, provi
Autor:
Sailes K. Sengupta, James S. Boyle
Publikováno v:
Journal of Climate. 11:816-830
The technique of common principal components (CPC) is applied to compare the results of a number of GCM simulations. The data used are the 120 monthly mean fields from 30 Atmospheric Model Intercomparison Project (AMIP) simulations and an ensemble of
Publikováno v:
IEEE Transactions on Nuclear Science. 43:2419-2426
We report the development of an automatic image analysis system that detects gamma-ray source regions in images obtained from a coded aperture, gamma-ray imager. The number of gamma sources in the image is not known prior to analysis. The system coun
Publikováno v:
Optical Engineering at the Lawrence Livermore National Laboratory.
The automated production of maps of human settlement from recent satellite images is essential to detailed studies of urbanization, population movement, and the like. Commercial satellite imagery is becoming available with sufficient spectral and spa
Publikováno v:
Image Processing: Algorithms and Systems
The automated production of maps of human settlement from recent satellite images is essential to studies of urbanization, population movement, and the like. The spectral and spatial resolution of such imagery is often high enough to successfully app
Autor:
G.A. Clark, P.C. Schaich, Nancy DelGrande, Marvin J. Barth, M.R. Buhl, J.E. Hernandez, Sailes K. Sengupta, Ronald J. Kane, Robert J. Sherwood
Publikováno v:
[1992] Conference Record of the Twenty-Sixth Asilomar Conference on Signals, Systems & Computers.
Given multiple images of the Earth's surface from dual-band infrared sensors, a system that fuses information from the sensors to reduce the effects of clutter and improve the ability to detect buried or surface target sites is presented. Supervised
Autor:
M.R. Buhl, N. Bull, P.C. Schaich, Marvin J. Barth, G.A. Clark, D. J. Fields, Robert J. Sherwood, Ronald J. Kane, Sailes K. Sengupta, Michael R. Carter
Publikováno v:
Proceedings of 27th Asilomar Conference on Signals, Systems and Computers.
The authors have conducted experiments to demonstrate the enhanced detectability of buried land mines using sensor fusion techniques. Multiple sensors, including visible imagery, infrared imagery, and ground penetrating radar (GPR), have been used to
Publikováno v:
Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers.
We report the development of an automatic image analysis system that detects gamma-ray source regions in images obtained from a coded aperture, gamma-ray imager. The number of gamma sources in the image is plot known prior to analysis. The system cou
Autor:
Sailes K. Sengupta
Publikováno v:
Technometrics. 48:569-570