ACCURACY OF CLASSIFICATION ABOUT LAND USE WITH MULTI-TEMPORAL ARTIFICIAL SATELLITE DATA
نویسندگان
چکیده
منابع مشابه
Data Mining Techniques for Land Use Land Cover Classification Using Multi-temporal Awifs Data
The present study addresses the attempt made to explore the temporal (5-day revisit) and spatial resolution (56m) potential of AWiFS sensor aboard IRS-P6 to generate the land use land cover information using decision tree classification technique using See 5 data mining algorithm. The results obtained after two annual cycles and issues related to digital classification of temporal satellite dat...
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The ability to map and monitor the spatial extent of the built environment, and associated temporal changes, has important societal and economic relevance. Multitemporal satellite data now provide the potential for mapping and monitoring urban land use change, but require the development of accurate and repeatable techniques that can be extended to a broad range of conditions and environments. ...
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A common application of hyperspectral imaging is land-use pixel classification. We have access to hyperspectral data from the same area acquired by different spatial and spectral resolution hyperspectral sensors at different timeslots. One may think that by only using data from the sensor with the highest both spatial and spectral resolution will be the best option. This paper shows that better...
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Satellite data are widely used within remote sensing to respond to the growing need for a deeper understanding of the Earth’s bioand geophysical parameters. Applications, such as land cover classification has for long been an important task within the field. Optical satellite data have proven to be efficient tools, however, they are unavailable in some conditions, such as cloudy weather. This d...
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ژورنال
عنوان ژورنال: Journal of Architecture and Planning (Transactions of AIJ)
سال: 1996
ISSN: 1340-4210,1881-8161
DOI: 10.3130/aija.61.61_1