The efficiency of crop recognition on ENVISAT ASAR images in two growing seasons

The aim of the presented project was to assess the efficiency of crop recognition based on microwave Advanced Synthetic Aperture Radar (ASAR) images acquired from ENVISAT-1. Investigations were conducted during two consecutive growing seasons, in 2003 and 2004. The agrometeorological conditions duri...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 2006-04, Vol.44 (4), p.806-814
Main Author: Stankiewicz, K.A.
Format: Article
Language:English
Subjects:
Advanced synthetic aperture radar (ASAR)
Agriculture
Agronomy. Soil science and plant productions
Applied geophysics
Biological and medical sciences
Canopies
Classifiers
Consistency
copolarization
crop classification
Crops
cross-polarization
Earth sciences
Earth, ocean, space
Exact sciences and technology
Fundamental and applied biological sciences. Psychology
Generalities. Biometrics, experimentation. Remote sensing
Image analysis
Image recognition
Internal geophysics
Microwaves
Neural networks
Polarization
Recognition
Remote sensing
Rough surfaces
Seasons
Soil moisture
Synthetic aperture radar
Testing
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Summary:The aim of the presented project was to assess the efficiency of crop recognition based on microwave Advanced Synthetic Aperture Radar (ASAR) images acquired from ENVISAT-1. Investigations were conducted during two consecutive growing seasons, in 2003 and 2004. The agrometeorological conditions during the selected seasons differed markedly, which induced year-to-year variations regarding the relevant characteristics of crop canopy. Multitemporal series of ASAR alternating polarization images were used for crop differentiation. Classification was performed using a neural network classifier trained separately for each year. Field observations conducted in the western part of Poland supplied datasets for training, validation, and testing of the classifier. Despite some differences noted in the classifier performance on two datasets, the results obtained for 2003 and 2004 showed high mutual consistency.
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2006.864380