Search Results - "De Grandi, Gianfranco D."

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  1. 1

    Spatial Wavelet Statistics of SAR Backscatter for Characterizing Degraded Forest: A Case Study From Cameroon by De Grandi, Elsa C., Mitchard, Edward, Woodhouse, Iain H., De Grandi, Gianfranco D.

    “…Forest degradation is an important issue in global environmental studies, albeit not yet well defined in quantitative terms. The present work addresses the…”
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    Journal Article
  2. 2

    The K&C PALSAR Mosaic of the African Continent: Processing Issues and First Thematic Results by De Grandi, Gianfranco D., Bouvet, Alexandre, Lucas, Richard M., Shimada, Masanobu, Monaco, Stefano, Rosenqvist, Ake

    “…The Japan Space Exploration Agency Kyoto and Carbon (K&C) Initiative seeks to demonstrate the potential of the Advanced Land Observing Satellite (ALOS) Phased…”
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    Journal Article
  3. 3

    Analysis by Wavelet Frames of Spatial Statistics in SAR Data for Characterizing Structural Properties of Forests by De Grandi, G.D., Lucas, R.M., Kropacek, J.

    “…Spatial statistics (texture) in SAR backscatter data of forested areas bears information on structural and geometric properties that could be useful in mapping…”
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    Journal Article Conference Proceeding
  4. 4

    A novel approach to the classification of regional-scale Radar mosaics for tropical vegetation mapping by Sgrenzaroli, M., Baraldi, A., De Grandi, G.D., Eva, H., Achard, F.

    “…The Global Rain Forest Mapping (GRFM) radar mosaics, generated from L-band Japanese Earth Resources Satellite 1 imagery downsampled to 100-m pixel size,…”
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    Journal Article
  5. 5

    Target Detection and Texture Segmentation in Polarimetric SAR Images Using a Wavelet Frame: Theoretical Aspects by De Grandi, G.D., Jong-Sen Lee, Schuler, D.L.

    “…Theoretical aspects of a technique for target detection and texture segmentation in synthetic aperture radar (SAR) imagery using a wavelet frame are presented…”
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    Journal Article
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  8. 8

    A wavelet multiresolution technique for polarimetric texture analysis and segmentation of SAR images by De Grandi, G., Hoekman, D., Lee, J.-S., Schuler, D., Ainsworth, T.

    “…A technique is presented for multiscale texture analysis and segmentation of polarimetric SAR images. Textural features are extracted using a multiscale…”
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    Conference Proceeding
  9. 9

    The GBFM radar mosaic of the Eurasian Taiga: selected topics on geo-location and preliminary thematic products by De Grandi, G., Spirolazzi, V., Rauste, Y.A., Curto, L., Rosenqvist, A., Shimada, M.

    “…In the context of the Global Boreal Forest Mapping project (GBFM), an initiative of the Japan Aerospace Exploration Agency (JAXA), a continental scale radar…”
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    Conference Proceeding