Search Results - "Rakwatin, P."

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  1. 1

    Restoration of Aqua MODIS Band 6 Using Histogram Matching and Local Least Squares Fitting by Rakwatin, P., Takeuchi, W., Yasuoka, Y.

    “…The MODerate resolution Imaging Spectrometer (MODIS) aboard Terra and Aqua platforms is performing well overall, except for Aqua MODIS band 6. Fifteen of the…”
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    Journal Article
  2. 2

    Stripe Noise Reduction in MODIS Data by Combining Histogram Matching With Facet Filter by Rakwatin, P., Takeuchi, W., Yasuoka, Y.

    “…The Moderate Resolution Imaging Spectrometer (MODIS) aboard Terra and Aqua platforms are contaminated by stripe noises. There are three types of stripe noises…”
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    Journal Article
  3. 3
  4. 4

    Assessment of ALOS PALSAR 50 m Orthorectified FBD Data for Regional Land Cover Classification by Support Vector Machines by Longepe, N, Rakwatin, P, Isoguchi, O, Shimada, M, Uryu, Y, Yulianto, K

    “…From its launch in 2006, the phased array L-band synthetic aperture radar (PALSAR) onboard the advanced land observing satellite (ALOS) has acquired many…”
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    Journal Article
  5. 5

    Restoration of Aqua MODIS Band 6 Using Histogram Matching and Local Least Squares Fitting by Rakwatin, P, Takeuchi, W, Yasuoka, Y

    “…The MODerate resolution Imaging Spectrometer (MODIS) aboard Terra and Aqua platforms is performing well overall, except for Aqua MODIS band 6. Fifteen of the…”
    Get full text
    Journal Article
  6. 6

    A flood mapping algorithm from cloud contaminated MODIS time-series data using a Markov random field model by Kasetkasem, T., Phuhinkong, P., Rakwatin, P., Chanwimaluang, T., Kumazawa, I.

    “…This paper addresses the problem of flood detection from the cloud-contaminated MODIS time-series data. Although MODIS data can provide almost daily coverage…”
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    Conference Proceeding
  7. 7

    A novel land cover mapping algorithm based on random forest and Markov random field models by Kasetkasem, T., Aonpong, P., Rakwatin, P., Chanwimaluang, T., Kumazawa, I.

    “…This paper proposes a new land cover mapping algorithm that combines the strengths of random forest (RF) with a Markov random field (MRF) model. The idea is to…”
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    Conference Proceeding
  8. 8

    A MRF-Based approach for a multisensor land cover mapping of mis-resgistered images by Kasetkasem, T., Rakwatin, P., Sirisommai, R., Eiumnoh, A., Isshiki, T.

    “…The traditional land cover mapping (LCM) algorithms assume that images are perfectly registered. In practice, this assumption may not always be valid since…”
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    Conference Proceeding
  9. 9

    Mapping tropical forest using ALOS PALSAR 50m resolution data with multiscale GLCM analysis by Rakwatin, P, Longepe, Nicolas, Isoguchi, O, Shimada, M, Uryu, Y

    “…PALSAR orthorectified HH and HV produced at 50m resolution is used for analysis. Since only two bands (HH and HV) have been limited in land cover…”
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    Conference Proceeding
  10. 10

    Rice crop yield monitoring system prototyping and its evaluation result by Takashima, S. S., Oyoshi, K., Okumura, T., Tomiyama, N., Rakwatin, P.

    “…Since Asian countries are responsible for approximately 90% of the world rice production and consumptions, rice is the most significant cereal crop in Asia…”
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    Conference Proceeding