An object-specific image-texture analysis of H-resolution forest imagery

This publication has 44 references indexed in Scilit:

• A comparison of spatial feature extraction algorithms for land-use classification with SPOT HRV data
  Published by Elsevier ,2003
• Comparison of Possible Multispectral Classification Schemes for Tree Crowns Individually Delineatedon High Spatial Resolution MEIS Images
  Canadian Journal of Remote Sensing, 1995
• Empirical relations between digital SPOT HRV and CASI spectral response and lodgepole pine (Pinus contorta) forest stand parameters
  International Journal of Remote Sensing, 1993
• Estimating structural attributes of Douglas-fir/western hemlock forest stands from landsat and SPOT imagery
  Remote Sensing of Environment, 1992
• A review of assessing the accuracy of classifications of remotely sensed data
  Remote Sensing of Environment, 1991
• Semivariograms of digital imagery for analysis of conifer canopy structure
  Remote Sensing of Environment, 1990
• Remote Sensing Scales Related To The Frequency Of Natural Variation: An Example From Paleo-ice Flow In Canada
  IEEE Transactions on Geoscience and Remote Sensing, 1990
• Early vision and texture perception
  Nature, 1988
• The semivariogram in remote sensing: An introduction
  Remote Sensing of Environment, 1988
• The interactive effect of spatial resolution and degree of internal variability within land-cover types on classification accuracies
  International Journal of Remote Sensing, 1987