Knowledge-based land-cover classification using ERS-1/JERS-1 composites

Land-cover classification based on an ERS-1/JERS-1 composite is explored in the context of eventual world-wide applicability. Since each of these orbiting sensors collect data using different frequencies, polarizations, and look angles, a classification procedure based on data from both sensors should enable a better classification than can either alone, and on a world-wide basis. A simple conceptual model is presented to show how this data relates to the structural features of terrain and vegetation cover. The classification scheme demonstrates an overall accuracy in excess of 90% for five different classes.<<ETX>>

[1]  F. Ulaby,et al.  Michigan Microwave Canopy Scattering Models (MIMICS) , 1988, International Geoscience and Remote Sensing Symposium, 'Remote Sensing: Moving Toward the 21st Century'..

[2]  R. Chellappa,et al.  SEGMENTATION OF SYNTHETIC APERTURE RADAR COMPLEX DATA , 1990, 1990 Conference Record Twenty-Fourth Asilomar Conference on Signals, Systems and Computers, 1990..

[3]  Yiu-Fai Wong,et al.  A new clustering algorithm applicable to multispectral and polarimetric SAR images , 1993, IEEE Trans. Geosci. Remote. Sens..

[4]  Jan P. Allebach,et al.  Combating Speckle In SAR Images: Vector Filtering And Sequential Classification Based On A Multiplicative Noise Model , 1990 .

[5]  E. Rignot,et al.  Monitoring freeze—thaw cycles along North—South Alaskan transects using ERS-1 SAR , 1994 .

[6]  H. Derin,et al.  Modeling and segmentation of speckled images using complex data , 1990 .

[7]  Jesslyn F. Brown,et al.  Development of a land-cover characteristics database for the conterminous U.S. , 1991 .

[8]  F. Ulaby,et al.  Textural Infornation in SAR Images , 1986, IEEE Transactions on Geoscience and Remote Sensing.

[9]  Kamal Sarabandi,et al.  Michigan microwave canopy scattering model , 1990 .

[10]  Fawwaz T. Ulaby,et al.  Effects of forest structure on radar response to forest biomass , 1993, Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium.

[11]  Kamal Sarabandi,et al.  Knowledge-based classification of polarimetric SAR images , 1994, IEEE Trans. Geosci. Remote. Sens..

[12]  Mahta Moghaddam,et al.  Modifications to the three-component classification algorithm for SAR data , 1993 .

[13]  Jin Au Kong,et al.  Classification of Earth Terrain Using Polarimetric Synthetic Aperture Radar Images , 1989, Progress In Electromagnetics Research.

[14]  Kamal Sarabandi,et al.  An empirical model and an inversion technique for radar scattering from bare soil surfaces , 1992, IEEE Trans. Geosci. Remote. Sens..

[15]  Tom Farr,et al.  Multipolarization Radar Images for Geologic Mapping and Vegetation Discrimination , 1986, IEEE Transactions on Geoscience and Remote Sensing.

[16]  Jakob J. van Zyl,et al.  Change detection techniques for ERS-1 SAR data , 1993, IEEE Trans. Geosci. Remote. Sens..

[17]  L. Novak,et al.  Bayes classification of terrain cover using normalized polarimetric data , 1988 .

[18]  Rama Chellappa,et al.  Segmentation of polarimetric synthetic aperture radar data , 1992, IEEE Trans. Image Process..

[19]  J. Zyl,et al.  Unsupervised classification of scattering behavior using radar polarimetry data , 1989 .

[20]  Thuy Le Toan,et al.  Branching model for vegetation , 1992, IEEE Trans. Geosci. Remote. Sens..

[21]  Eric Rignot,et al.  Mapping of Taiga Forest units using AIRSAR data and/or optical data, and retrieval of forest parameters , 1993, Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium.