By Topic

IEEE Geoscience and Remote Sensing Letters

Issue 1 • Date Jan. 2004

Filter Results

Displaying Results 1 - 12 of 12
  • [Front cover]

    Publication Year: 2004, Page(s): 01
    Request permission for commercial reuse | PDF file iconPDF (121 KB)
    Freely Available from IEEE
  • IEEE Geoscience and Remote Sensing Letters publication information

    Publication Year: 2004, Page(s): 0_2
    Request permission for commercial reuse | PDF file iconPDF (35 KB)
    Freely Available from IEEE
  • Table of contents

    Publication Year: 2004, Page(s): 1
    Request permission for commercial reuse | PDF file iconPDF (31 KB)
    Freely Available from IEEE
  • Editorial

    Publication Year: 2004, Page(s): 2
    Request permission for commercial reuse | PDF file iconPDF (47 KB) | HTML iconHTML
    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Forecasting vegetation greenness with satellite and climate data

    Publication Year: 2004, Page(s):3 - 6
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (216 KB) | HTML iconHTML

    A new and unique vegetation greenness forecast (VGF) model was designed to predict future vegetation conditions to three months through the use of current and historical climate data and satellite imagery. The VGF model is implemented through a seasonality-adjusted autoregressive distributed-lag function, based on our finding that the normalized difference vegetation index is highly correlated wit... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Agriculture field characterization using aerial photograph and satellite imagery

    Publication Year: 2004, Page(s):7 - 10
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (224 KB) | HTML iconHTML

    Successfully delineating management zones that differ in crop productivity is an important component of site-specific management. We compared the effectiveness of the digitally scanned color aerial infrared photographs and digital Landsat Thematic Mapper (TM) data for delineating within-field zones. The zones delineated using normalized difference vegetation index (NDVI) from TM data explained 34%... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Characterizing location and classification error patterns in time-series thematic maps

    Publication Year: 2004, Page(s):11 - 14
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (136 KB) | HTML iconHTML

    Studies the spatial patterns of location error and of classification error in spatio-temporal datasets, assess the role of environmental factors in determining error rate and pattern, and test for possible correlation within and between these error types in space and time. A multiple regression was used to determine the effects of local environmental factors (topography, vegetation cover) on each ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A neural fuzzy network approach to Radar pulse compression

    Publication Year: 2004, Page(s):15 - 20
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (280 KB) | HTML iconHTML

    To make good range resolution and accuracy compatible with a high detection capability while maintaining the low average transmitted power, pulse compression processing giving low-range sidelobes is necessary. The traditional algorithms such as the direct autocorrelation filter (ACF), least squares (LS) inverse filter, and linear programming (LP) filter based on three-element Barker code (B13 code... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Optimized onboard lossless and near-lossless compression of hyperspectral data using CALIC

    Publication Year: 2004, Page(s):21 - 25
    Cited by:  Papers (74)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (192 KB) | HTML iconHTML

    We propose a new lossless and near-lossless compression algorithm for hyperspectral images based on context-based adaptive lossless image coding (CALIC). Specifically, we propose a novel multiband spectral predictor, along with optimized model parameters and optimization thresholds. The resulting algorithm is suitable for compression of data in band-interleaved-by-line format; its performance eval... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A family of spectral target signature transforms: relationship to the past, new transforms, and sensitivity tests

    Publication Year: 2004, Page(s):26 - 30
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (304 KB) | HTML iconHTML

    Previous studies introduced, examined, and tested a variety of registration-free transformations, specifically the diagonal, whitening/dewhitening, and target CV (covariance) transformations, that temporally evolve spectral signatures under varying conditions. Target spectral signatures were transformed using imagery of spatially overlapping regions from datasets collected at different times. This... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • IEEE copyright form

    Publication Year: 2004, Page(s):31 - 32
    Request permission for commercial reuse | PDF file iconPDF (1057 KB)
    Freely Available from IEEE
  • IEEE Geoscience and Remote Sensing Information for authors

    Publication Year: 2004, Page(s): 03
    Request permission for commercial reuse | PDF file iconPDF (30 KB)
    Freely Available from IEEE

Aims & Scope

IEEE Geoscience and Remote Sensing Letters (GRSL) is a monthly publication for short papers (maximum length 5 pages) addressing new ideas and formative concepts in remote sensing as well as important new and timely results and concepts.

 

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Alejandro C. Frery
Universidade Federal de Alagoas