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Contextual Online Dictionary Learning for Hyperspectral Image Classification
IEEE Transactions on Geoscience and Remote Sensing, 2018Sparse representation (SR) has been successfully used in the classification of hyperspectral images (HSIs) by representing HSI pixels over a dictionary and yielding discriminative sparse coefficients. Most of SR-based classification methods construct the dictionary by directly using some labeled pixels as atoms.
Wei Fu, Shutao Li, Leyuan Fang
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A discriminative model for contextual classification of hyperspectral images
2018 26th Signal Processing and Communications Applications Conference (SIU), 2018In this study a probabilistic method for contextual classification of hyperspectral images is proposed with the purpose of land cover classification. The proposed method consists of a multinomial logistic regression model, and multi-nomial autologistic regression model for spatial smoothing.
Sezer Kutluk, Koray Kayabol, Aydin Akan
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Contextual Exemplar Classifier-Based Image Representation for Classification
IEEE Transactions on Circuits and Systems for Video Technology, 2017The use of local features for image representation has become popular in recent years. Local features are often used in the bag-of-visual-words scheme. Although proven effective, this method still has two drawbacks. First, local regions from which local features are extracted are not discriminative enough for visual tasks.
Chunjie Zhang
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Contextual classification of high-resolution satellite images
2009 IEEE Symposium on Computational Intelligence for Image Processing, 2009We propose a non-homogeneous Conditional Random Field built over an adjacency graph of superpixels for contextual classification of high-resolution satellite images. By introducing the contextual histogram descriptor, our model includes spatially dependent unary and pairwise potentials that capture contextual interactions of the data as well as the ...
Olfa Besbes +2 more
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A new deterministic annealing for image contextual classification
2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2002As an alternative to strict gradient descent-based procedures, we propose here a new deterministic annealing (DA) optimization approach for Bayesian-MRF contextual classification of images. The proposed DA builds on recent approaches that capture some of the power of the stochastic annealing optimization methods while reducing computational complexity ...
Salim Chitroub +4 more
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Pyramidal contextual classification of SAR images
1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications, 2002Pyramid-based classification techniques have shown great performance when compared to global classification methods. However, the accuracy becomes very low when spectral parameters only are considered. A new classification method is proposed which deals with integration of two algorithms: the hierarchical image segmentation by step-wise optimization to
G.B. Benie +4 more
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Fuzzy Clustering to Encode Contextual Information in Artistic Image Classification
2022Automatic art analysis comprises of utilizing diverse processing methods to classify and categorize works of art. When working with this kind of pictures, we have to take under consideration different considerations compared to classical picture handling, since works of art alter definitely depending on the creator, the scene delineated or their ...
Javier Fumanal-Idocin +4 more
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