Use of C band coherence channel for land cover classification in tropical regions

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4883, Issue , 2002, Pages 92-102

  Da Costa Freitas, Corina ^a   Gaboardi, Clovis ^b   Vieira Dutra, Luciano ^a  

^a INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

^b IME   (Brazil)

Author keywords

Coherence; ERS1 2; Land cover classification; SAR

Indexed keywords

ALGORITHMS; BANDWIDTH; COHERENT LIGHT; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTER SIMULATION; ELECTROMAGNETIC WAVE BACKSCATTERING; FEATURE EXTRACTION; ITERATIVE METHODS; LAND USE; STATISTICAL METHODS; SYNTHETIC APERTURE RADAR; TROPICS;

C BAND; ITERATIVE CONDITIONAL MODE; KAPPA STATISTICS; LAND COVER CLASSIFICATION; MERGE USING MOMENTS ALGORITHM; SOFTWARE PACKAGE SPRING;

RADAR IMAGING;

EID: 0037951293     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.463037     Document Type: Conference Paper

References (23)

1. Wegmüller, U., Werner, C. "Retrieval of Vegetation Parameters with SAR Interferometry". IEEE Transactions on Geoscience and Remote Sensing. v. 35, n. 1, p. 18-24, Jan 1997.
2. Askne, J., Smith, G. "Forest INSAR decorrelation and classification properties". FRINGE 96. [Online]. . Abr 2000.
3. Gens, R., Genderen, V. "Review Article: SAR Interferometry - issues, techniques, applications". International Journal of Remote Sensing. v. 17, n. 10, p. 1803-1835. Mar 1996.
4. Dutra, L. V., Huber, R. "Feature Extraction and Selection for ERS-1/2 InSAR Classification". International Journal of Remote Sensing. v. 20, n.5, p. 993-1016. May 1999.
5. Strozzi, T., Wegmüller, U., Luckman, A., Baltzer, H. "Mapping Deforestation in Amazon with ERS SAR Interferometry". In: Proceedings of IGARSS'99, Hamburg, Germany. Jun 1999.
6. Congalton, R. G., Green, K. Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. New York, Lewis Publishers, 1999, 137 p.
7. Landis, J. R., Koch, C. H. "The Measurement of Observer Agreement for Categorical Data". Biometrics. v. 33, n. 3, p. 159-174, Mar 1977.
8. Fleiss, J. L. Statistical Methods for Rates and Proportions. New York, John Wiley & Sons, 1981. 321p.
9. Papathanassiou, K. P. Polarimetric SAR Interferometry. Oberpfaffenhofen. 131 p. Doctoral Thesis. Technishe Universität Graz, 1999.
10. Santitamnont, P. Interferometric SAR Processing for Topographic Mapping. Hannover. 105 p. (ISSN 0174-1454, n. 230). Doctoral Thesis, Technishe Universität Hannover, 1998.
11. Coltelli, M., Dutra, L., Fornaro, G., Franceschetti, G., Lanari, L., Migliaccio, M., Moreira, J., Papathanassiou, K., Puglisi, G., Riccio, D., Schwäbisch, M. SIR-C/X-SAR Interferometry over Mt. Etna: DEM Generation, Accuracy Assessment and Data Interpretation. (ISSN 0939-2693). Deutsche Forschungsanstalt für Luft-und Raumfahrt. 1996. 91 p.
12. Giglia, D. C., Pritt, M. D. Two-dimensional Phase Unwrapping: Theory, Algorithms, and Software. New York, John Wiley & Sons, 1998. 493 p.
13. Vieira, P. R. Desenvolvimento de Classificadores de Máxima Verossimilhança e ICM para Imagens SAR. São José dos Campos, 251 p. (INPE 6124-TDI/585). Dissertacão (Mestrado em Sensoriamento Remoto) - Instituto Nacional de Pesquisas Espaciais, 1996.
14. Cook, R., McConnell, C., Oliver, C., Welbourne, E. "MUM (Merge Using Moments) Segmentation for SAR Images". Proceeding SPIE. P. 92-103. 1994.
15. Câmara, G., Souza, R. C. M., Freitas, U. M., Garrido, J. P. "SPRING: Integrating Remote Sensing and GIS with Object-Oriented Data Modelling". Computer and Graphics. v. 15, n.6, p. 13-22, 1996.
16. Bins, L. S., Fonseca, L. M. G., Erthal, G. J., Ii, F. M. Satellite Imagery Segmentation: a region growing approach. [CD-ROM]. In: Simpósio Brasileiro de Sensoriamento Remoto, 8., Salvador, 1996. Anais. São José dos Campos, INPE, 1996.
17. Projeto RADAMBRASIL. Folha SA.21-SANTARÉM. Departamento Nacional de Producão Mineral - Levantamento de Recursos Naturais. Rio de Janeiro, 1976, v. 10. 522 p.
18. Hernandez Filho, P., Dutra, L. V., Kuntschik, G., Soares, S. M. Processamento e Análise de Dados JERS com Ênfase em Floresta e Uso da Terra: Floresta Nacional do Tapajós. São José dos Campos, 53 p. (INPE-6387-RPQ/678). Instituto Nacional de Pesquisas Espaciais, 1997.
19. Richards, J. A. Remote Sensing Digital Image Analysis: An Introduction. Berlin, Springer-Verlag, 1986. 281 p.
20. Haralick, R. M., Shanmugam, K., Dinstein, I. "Textural Features for Image Classification". IEEE Transaction on Systems, Man and Cybernetics. v. 3, n. 6, p. 610-621. Nov 1973.
21. Nasoftware. Caesar User Guide. Version 2.1. Liverpool, Uk, 1994.
22. Rennó, C. D. Texture 1.0. [Online]. http://www.dpi.inper.br/-camilo Out. 2000.
23. Silva Junior, L. W. P. Classificação da Cobertura da Terra na Floresta Nacional do Tapajós Através de Textura Utilizando Dados do Radar ERS. São José dos Campos, 141 p. Dissertacão (Mestrado em Sensoriamento Remoto) Instituto Nacional de Pesquisas Espaciais, 2001.