Multiresolutional texture analysis of multispectral imagery for automated ground cover classification
| Autor: | Roger L. King, Lori M. Bruce, A. Mathur, H. Tamhankar |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Contextual image classification
Remote sensing application Computer science business.industry Multiresolution analysis Multispectral image ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Wavelet transform Image processing Multispectral pattern recognition Co-occurrence matrix Wavelet Image texture Computer vision Artificial intelligence business Image resolution |
| Zdroj: | IGARSS |
| DOI: | 10.1109/igarss.2002.1025024 |
| Popis: | The authors provide an introduction to wavelet-based texture recognition. The authors compare conventional approaches, such as co-occurrence matrix methods and Fourier-based techniques, to wavelet-based approaches. Practical remote sensing applications are presented, including the detection of weeds in agricultural crops and the detection and analysis of noxious weeds for environmental applications. For these case studies, the authors present a theoretical discussion as well as experimental classification results. These applications demonstrate the benefits of multiresolutional methods to the texture classification task in multispectral imagery. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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