Abstract:
The problem of joint classification of multitemporal high-resolution images is addressed in this paper by proposing a novel multiscale region-based technique. Given a pai...Show MoreMetadata
Abstract:
The problem of joint classification of multitemporal high-resolution images is addressed in this paper by proposing a novel multiscale region-based technique. Given a pair of multitemporal images acquired over the same area, multiscale segmentation is applied to each image in order to generate a collection of segmentation results related to different spatial scales. A novel Markov random field (MRF) model is developed to fuse the resulting multiscale information together with the spatial and temporal contextual information associated with the input multitemporal data set. The parameters of the MRF model are automatically optimized by a recent technique based on the Ho-Kashyap's algorithm. Experiments are presented with QuickBird and SPOT-5 data.
Date of Conference: 24-29 July 2011
Date Added to IEEE Xplore: 20 October 2011
ISBN Information:
ISSN Information:
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- IEEE Keywords
- Index Terms
- High-resolution Images ,
- Image Classification ,
- Markov Random Field ,
- Model Parameters ,
- Spatial Scales ,
- Spatial Information ,
- Temporal Information ,
- Image Pairs ,
- Segmentation Results ,
- Multitemporal Images ,
- Multi-scale Information ,
- Markov Random Field Model ,
- Multiscale Techniques ,
- Parameter Estimates ,
- Transition Probabilities ,
- Energy Function ,
- Spatial Heterogeneity ,
- Potential Model ,
- Accurate Mapping ,
- Segmentation Algorithm ,
- Spatial Context ,
- Region-based Methods ,
- Transition Probability Matrix ,
- Multiscale Approach ,
- Segmentation Map ,
- Probability Mass Function ,
- Classification Maps ,
- Thematic Categories ,
- Energy Contribution ,
- Temporal Correlation
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- High-resolution Images ,
- Image Classification ,
- Markov Random Field ,
- Model Parameters ,
- Spatial Scales ,
- Spatial Information ,
- Temporal Information ,
- Image Pairs ,
- Segmentation Results ,
- Multitemporal Images ,
- Multi-scale Information ,
- Markov Random Field Model ,
- Multiscale Techniques ,
- Parameter Estimates ,
- Transition Probabilities ,
- Energy Function ,
- Spatial Heterogeneity ,
- Potential Model ,
- Accurate Mapping ,
- Segmentation Algorithm ,
- Spatial Context ,
- Region-based Methods ,
- Transition Probability Matrix ,
- Multiscale Approach ,
- Segmentation Map ,
- Probability Mass Function ,
- Classification Maps ,
- Thematic Categories ,
- Energy Contribution ,
- Temporal Correlation
- Author Keywords