2015
DOI: 10.3991/ijoe.v11i4.4564
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A New Approach for Remote Sensing Image Sample Selection Based on Convex Theory

Abstract: Abstract-Advancements in remote sensing technology have led to improvements in the acquisition of land cover information. The extraction of accurate and timely knowledge about land cover from remote sensing imagery largely depends on the classification techniques used. Support vector machine has been receiving considerable attention as a promising method for classifying remote sensing imagery. However, the support vector machine learning process typically requires a large memory and significant computation tim… Show more

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“…Indeed, in a similar way to this companion onboard the Aqua satellite, the MODIS sensor onboard the Terra satellite, has been collecting data since 2000 and currently provides a long time series of daily images that constitutes a big data framework, currently making it possible to progress in global monitoring. 1 However, and due to this huge amount of data, MODIS data collection poses an interesting challenge for achieving both accurate and automatic processing.…”
Section: Introductionmentioning
confidence: 99%
“…Indeed, in a similar way to this companion onboard the Aqua satellite, the MODIS sensor onboard the Terra satellite, has been collecting data since 2000 and currently provides a long time series of daily images that constitutes a big data framework, currently making it possible to progress in global monitoring. 1 However, and due to this huge amount of data, MODIS data collection poses an interesting challenge for achieving both accurate and automatic processing.…”
Section: Introductionmentioning
confidence: 99%