Knowledge-based, Automated Land Use/Land Cover Mapping Using Resourcesat-1 AWiFS

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  • Sundaram Subramaniam National remote sensing Centre ISRO hyderabad- 500 625 INDIA

Klíčová slova:

Knowledge base, IRS, automation, multi-spectral, classification, land use, land cover, mapping

Abstrakt

The availability of large quantity of data from high-resolution space-based sensors along with the existing archives surpassed our ability to extract information from all the data using supervised image analysis techniques. Hence there is a need for automated image classifier with high throughput. Knowledge-based, modular, hierarchical decision-based classifier suitable for the analysis and extraction of major land use/land cover classes from IRS Resourcesat AWiFS data has been developed and the results are encouraging.Keywords: Knowledge base, IRS, automation, multi-spectral, classification, land use, land cover, mapping

Biografie autora

  • Sundaram Subramaniam, National remote sensing Centre ISRO hyderabad- 500 625 INDIA
    Scientist 'SF'National Remote Sensing Centre, ISRODept. of SpaceINDIA

Stažení

Publikováno

2012-04-23

Číslo

Vol 3 No 1 (2012)

Sekce

Review Articles

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