A methodology for incorporating structural information into conventional classification
procedures is described. The technique is based on the use of an edge-density image which is …

Attempts to map land use directly from higher spatial resolution satellite data with conventional
computer classification techniques have proven to be ineffective. This is due to two facts. …

A large number of spatial feature extraction methods were developed during the past 20
years. The effectiveness of each method has been assessed in different studies using different …

Resource management agencies are interested in knowing when and how satellite data can
be effectively used to monitor environmental change and what information can be expected …

Absfruct-Nine cover types have been classified using a textural/spectral approach. The
texture analysis is based on the grey-level cooccurrence matrix method. Texture features are …

… [4] J. F Wang and P J Howarth, “Methodology for automated road network extraction from
Landsat TM data,” in Proc Ann ASPRSI ACSM Convention (Baltimore, MD), 1987, vol. 1, pp 429…

Experiments to evaluate the accuracies of different stages of land-cover classification are
described. Four feature groups, two training strategies, three classifiers, and three accuracy …

SPOT HRV multispectral and panchromatic data were recorded and co-registered for a
portion of the rural-urban fringe of Toronto, Canada. A two-stage digital analysis algorithm …

Abstract Comparison of Landsat digital classifications from two dates has met with limited
success for change detection in urban environments. The capabilities of digital enhancements …

The use of Landsat digital classification or enhancements to monitor change in semi-arid
environments has generally met with limited success. This can be partially attributed to unique …