Assessment of ALOS PALSAR 50 m Orthorectified FBD Data for Regional Land Cover Classification by Support Vector Machines

@article{Longp2011AssessmentOA,
  title={Assessment of ALOS PALSAR 50 m Orthorectified FBD Data for Regional Land Cover Classification by Support Vector Machines},
  author={Nicolas Long{\'e}p{\'e} and Preesan Rakwatin and Osamu Isoguchi and Masanobu Shimada and Yumiko Uryu and Kokok Yulianto},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2011},
  volume={49},
  pages={2135-2150}
}
From its launch in 2006, the phased array L-band synthetic aperture radar (PALSAR) onboard the advanced land observing satellite (ALOS) has acquired many dual-polarized (FBD) images with a 70-km swath width, aiming to produce spatially consistent coverage over tropical rainforest. This paper investigates the relevancy of PALSAR orthorectified FBD product at 50-m resolution for regional land cover classification by the support vector machines (SVM). Our test site is the Riau province, Sumatra… CONTINUE READING

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