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Sensor needs for agricultural applicationsThe peculiarities of agricultural remotely sensed data requirements evoke special sensor requirements. Vegetative species do not possess significantly different spectral signature at given phases of their development cycle. Hence, the key to their discriminability is the phasing of the phenologic cycle of the subject species. Significant improvements in classification can be obtained by consistently employing multi-temporal observations taken at specific times during the year. The present approach to agricultural data processing results in extracted data equal to approximately .05% of the acquired data. This paper discusses the derivation of agricultural peculiar requirements and the benefits to the end-to-end processing system by judicial utilization and placement of key editing functions such as sample segment extraction, cloudy image removal, sample registration and the elimination of redundant data.
Document ID
19790029839
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Golden, H.
(NASA Marshall Space Flight Center Huntsville, Ala., United States)
Neiers, J. W.
(General Electric Co. Huntsville, Ala., United States)
Date Acquired
August 9, 2013
Publication Date
November 1, 1978
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
AIAA PAPER 78-1745
Meeting Information
Meeting: American Institute of Aeronautics and Astronautics and NASA, Conference on ''Smart'' Sensors
Location: Hampton, VA
Start Date: November 14, 1978
End Date: November 16, 1978
Sponsors: NASA, American Institute of Aeronautics, Astronautics
Accession Number
79A13852
Distribution Limits
Public
Copyright
Other

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