Please use this identifier to cite or link to this item:
|Title:||A Robust Built-up Area Presence Index by Anisotropic Rotation-invariant Textural Measure|
|Authors:||PESARESI MARTINO; GERHARDINGER ANDREA; KAYITAKIRE Francois|
|Citation:||IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing vol. 1 no. 3 p. 180-192|
|Type:||Articles in periodicals and books|
|Abstract:||A procedure for the calculation of a texture-derived built-up presence index (PanTex) from textural characteristics of panchromatic satellite data is presented. The index is based on fuzzy rule-based composition of anisotropic textural co-occurrence measures derived from the satellite data by the gray-level co-occurrence matrix (GLCM). The strength and weakness of the procedure is analyzed and compared with traditional radiometric and textural approaches with the help of specific examples. A variant of the PanTex is proposed including information on vegetation if available (PanTexG). The accuracy and robustness of PanTex against seasonal changes, multi-sensor, multi-scene, and data degradation by wavelet-based compression and histogram stretching is discussed with some examples.|
|JRC Institute:||Institute for the Protection and Security of the Citizen|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.