Computing geostatistical image texture for remotely sensed data classification
Authors:
- M. Chica-OlmoM. Chica-Olmo
- F. Abarca-HernándezFAF. Abarca-Hernández
- 1 May 2000
- journal article
- Published by Elsevier in Computers & Geosciences
- Vol. 26 (4) , 373-383
Abstract
No abstract availableThis publication has 15 references indexed in Scilit:
- Radiometric coregionalization of Landsat TM and SPOT HRV imagesInternational Journal of Remote Sensing, 1998
- Semivariogram textural classification of JERS-1 (Fuyo-1) SAR data obtained over a flooded area of the Amazon rainforestInternational Journal of Remote Sensing, 1998
- Geostatistical description of texture on an aerial photograph for discriminating classes of land coverInternational Journal of Remote Sensing, 1996
- Defining an optimal size of support for remote sensing investigationsIEEE Transactions on Geoscience and Remote Sensing, 1995
- Cokriging with airborne MSS imageryRemote Sensing of Environment, 1994
- Identifying spatial patterns of Mediterranean landscapes from geostatistical analysis of remotely-sensed dataInternational Journal of Remote Sensing, 1994
- Texture measures for the identification and monitoring of urban derelict landInternational Journal of Remote Sensing, 1994
- Nested-hierarchical scene models and image segmentationInternational Journal of Remote Sensing, 1992
- Analysis of the structure of radiometric remotely-sensed imagesInternational Journal of Remote Sensing, 1989
- The semivariogram in remote sensing: An introductionRemote Sensing of Environment, 1988