Search Results - "Dinh Ho Tong Minh"

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  1. 1

    Deep Recurrent Neural Network for Agricultural Classification using multitemporal SAR Sentinel-1 for Camargue, France by Ndikumana, Emile, Ho Tong Minh, Dinh, Baghdadi, Nicolas, Courault, Dominique, Hossard, Laure

    Published in Remote sensing (Basel, Switzerland) (01-08-2018)
    “…The development and improvement of methods to map agricultural land cover are currently major challenges, especially for radar images. This is due to the…”
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    Journal Article
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    Multiscale framework for rapid change analysis from SAR image time series: Case study of flood monitoring in the central coast regions of Vietnam by Lê, Thu Trang, Froger, Jean-Luc, Ho Tong Minh, Dinh

    Published in Remote sensing of environment (01-02-2022)
    “…•A framework for rapid change analysis using multitemporal SAR images.•Extraction of spatio-temporal change information in patch scale and pixel scale.•Support…”
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    Journal Article
  3. 3

    Deep Recurrent Neural Networks for Winter Vegetation Quality Mapping via Multitemporal SAR Sentinel-1 by Ho Tong Minh, Dinh, Ienco, Dino, Gaetano, Raffaele, Lalande, Nathalie, Ndikumana, Emile, Osman, Faycal, Maurel, Pierre

    Published in IEEE geoscience and remote sensing letters (01-03-2018)
    “…Mapping winter vegetation quality is a challenging problem in remote sensing. This is due to cloud coverage in winter periods, leading to a more intensive use…”
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    Mapping Paddy Rice Using Sentinel-1 SAR Time Series in Camargue, France by Bazzi, Hassan, Baghdadi, Nicolas, El Hajj, Mohammad, Zribi, Mehrez, Minh, Dinh Ho Tong, Ndikumana, Emile, Courault, Dominique, Belhouchette, Hatem

    Published in Remote sensing (Basel, Switzerland) (01-04-2019)
    “…This study proposes an effective method to map rice crops using the Sentinel-1 SAR (Synthetic Aperture Radar) time series over the Camargue region, Southern…”
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    Journal Article
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    Potential value of combining ALOS PALSAR and Landsat-derived tree cover data for forest biomass retrieval in Madagascar by Ho Tong Minh, Dinh, Ndikumana, Emile, Vieilledent, Ghislain, McKey, Doyle, Baghdadi, Nicolas

    Published in Remote sensing of environment (01-08-2018)
    “…Reducing carbon emissions from deforestation and degradation (REDD) requires detailed insight into how the forest biomass is measured and distributed. Studies…”
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    Journal Article
  7. 7

    Tropical Forest Top Height by GEDI: From Sparse Coverage to Continuous Data by Ngo, Yen-Nhi, Ho Tong Minh, Dinh, Baghdadi, Nicolas, Fayad, Ibrahim

    Published in Remote sensing (Basel, Switzerland) (01-02-2023)
    “…Estimating consistent large-scale tropical forest height using remote sensing is essential for understanding forest-related carbon cycles. The Global Ecosystem…”
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  8. 8

    Compressed SAR Interferometry in the Big Data Era by Ho Tong Minh, Dinh, Ngo, Yen-Nhi

    Published in Remote sensing (Basel, Switzerland) (01-01-2022)
    “…Modern Synthetic Aperture Radar (SAR) missions provide an unprecedented massive interferometric SAR (InSAR) time series. The processing of the Big InSAR Data…”
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  9. 9

    Estimation of Rice Height and Biomass Using Multitemporal SAR Sentinel-1 for Camargue, Southern France by Ndikumana, Emile, Ho Tong Minh, Dinh, Dang Nguyen, Hai, Baghdadi, Nicolas, Courault, Dominique, Hossard, Laure, El Moussawi, Ibrahim

    Published in Remote sensing (Basel, Switzerland) (01-09-2018)
    “…The research and improvement of methods to be used for crop monitoring are currently major challenges, especially for radar images due to their speckle noise…”
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    Journal Article
  10. 10

    Exploring Tropical Forests With GEDI and 3-D SAR Tomography by Ngo, Yen-Nhi, Minh, Dinh Ho Tong, Baghdadi, Nicolas, Fayad, Ibrahim, Ferro-Famil, Laurent, Huang, Yue

    “…Measuring the vertical structure of tropical forests using remote sensing technology is challenging. To overcome this, active sensors, such as P-band synthetic…”
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    Potential of P-Band SAR Tomography in Forest Type Classification by Ho Tong Minh, Dinh, Ngo, Yen-Nhi, Lê, Thu Trang

    Published in Remote sensing (Basel, Switzerland) (14-02-2021)
    “…Forest type classification using spaceborne remote sensing is a challenge. Low-frequency Synthetic Aperture Radar (SAR) signals (i.e., P-band, ∼0.69 m…”
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    Journal Article
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    Mapping Ground Subsidence Phenomena in Ho Chi Minh City through the Radar Interferometry Technique Using ALOS PALSAR Data by Minh, Dinh Ho Tong, VanTrung, Le, Toan, Thuy Le

    Published in Remote sensing (Basel, Switzerland) (01-07-2015)
    “…The rapidly developing urbanization since the last decade of the 20th century has led to extensive groundwater extraction, resulting in subsidence in Ho Chi…”
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  13. 13

    Monitoring Tropical Forest Structure Using SAR Tomography at L- and P-Band by El Moussawi, Ibrahim, Ho Tong Minh, Dinh, Baghdadi, Nicolas, Abdallah, Chadi, Jomaah, Jalal, Strauss, Olivier, Lavalle, Marco, Ngo, Yen-Nhi

    Published in Remote sensing (Basel, Switzerland) (19-08-2019)
    “…Our study aims to provide a comparison of the P- and L-band TomoSAR profiles, Land Vegetation and Ice Sensor (LVIS), and discrete return LiDAR to assess the…”
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  14. 14

    L-Band UAVSAR Tomographic Imaging in Dense Forests: Gabon Forests by El Moussawi, Ibrahim, Ho Tong Minh, Dinh, Baghdadi, Nicolas, Abdallah, Chadi, Jomaah, Jalal, Strauss, Olivier, Lavalle, Marco

    Published in Remote sensing (Basel, Switzerland) (01-03-2019)
    “…Developing and enhancing strategies to characterize actual forests structure is a timely challenge, particularly for tropical forests. P-band synthetic…”
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    An Empirical Study on the Impact of Changing Weather Conditions on Repeat-Pass SAR Tomography by Bai, Yu, Tebaldini, Stefano, Minh, Dinh Ho Tong, Yang, Wen

    “…Researches carried out in the last years have shown that the use of P-band SAR tomography (TomoSAR) largely improves the retrieval of the above-ground biomass…”
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  16. 16

    Radar Interferometry: 20 Years of Development in Time Series Techniques and Future Perspectives by HO TONG MINH, Dinh, Hanssen, Ramon, Rocca, Fabio

    Published in Remote sensing (Basel, Switzerland) (01-05-2020)
    “…The research and improvement of methods to be used for deformation measurements from space is a challenge. From the previous 20 years, time series Synthetic…”
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    Interest of Integrating Spaceborne LiDAR Data to Improve the Estimation of Biomass in High Biomass Forested Areas by Hajj, Mohammad, Baghdadi, Nicolas, Fayad, Ibrahim, Vieilledent, Ghislain, Bailly, Jean-Stéphane, Minh, Dinh

    Published in Remote sensing (Basel, Switzerland) (01-03-2017)
    “…Mapping forest AGB (Above Ground Biomass) is of crucial importance to estimate the carbon emissions associated with tropical deforestation. This study proposes…”
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    Journal Article
  18. 18

    Combining Sentinel-1 and Sentinel-2 Satellite Image Time Series for land cover mapping via a multi-source deep learning architecture by Ienco, Dino, Interdonato, Roberto, Gaetano, Raffaele, Ho Tong Minh, Dinh

    “…The huge amount of data currently produced by modern Earth Observation (EO) missions has allowed for the design of advanced machine learning techniques able to…”
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    Relating P-Band Synthetic Aperture Radar Tomography to Tropical Forest Biomass by Ho Tong Minh, Dinh, Toan, Thuy Le, Rocca, Fabio, Tebaldini, Stefano, d'Alessandro, Mauro Mariotti, Villard, Ludovic

    “…The retrieval of above-ground biomass (AGB) in dense tropical forests using synthetic aperture radar (SAR) images is widely recognized as a challenging task…”
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