Adaptive Multisensor Acquisition via Spatial Contextual Information for Compressive Spectral Image Classification [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Spectral image classification uses the huge amount of information provided by spectral images to identify objects in the scene of interest. In this sense, spectral images typically contain redundant information that is removed in later processing stages.
Nelson Diaz +3 more
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Dual contextual learning for semi-supervised medical image classification [PDF]
Frontiers in MedicineSemi-supervised learning (SSL) has emerged as a promising paradigm for medical image classification, addressing the critical challenge of limited labeled data in healthcare where expert annotation is expensive and time-consuming. Existing pseudo-labeling
Jiaying Liu +5 more
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Contextual Classification of Image Patches with Latent Aspect Models
EURASIP Journal on Image and Video Processing, 2009 We present a novel approach for contextual classification of image patches in complex visual scenes, based on the use of histograms of quantized features and probabilistic aspect models.
Quelhas Pedro +3 more
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A Dual Multi-Head Contextual Attention Network for Hyperspectral Image Classification
Remote Sensing, 2022 To learn discriminative features, hyperspectral image (HSI), containing 3-D cube data, is a preferable means of capturing multi-head self-attention from both spatial and spectral domains if the burden in model optimization and computation is low. In this
Miaomiao Liang +5 more
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Polarimetric Contextual Classification of PolSAR Images Using Sparse Representation and Superpixels [PDF]
Remote Sensing, 2014 In recent years, sparse representation-based techniques have shown great potential for pattern recognition problems. In this paper, the problem of polarimetric synthetic aperture radar (PolSAR) image classification is investigated using sparse ...
Jilan Feng, Zongjie Cao, Yiming Pi
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Confidence-Guided Adaptive Diffusion Network for Medical Image Classification [PDF]
Journal of ImagingMedical image classification is a fundamental task in medical image analysis and underpins a wide range of clinical applications, including dermatological screening, retinal disease assessment, and malignant tissue detection.
Yang Yan, Zhuo Xie, Wenbo Huang
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CONTEXTUAL IMAGE CLASSIFICATION APPROACH FOR MONITORING OF AGRICULTURAL LAND COVER BY SUPPORT VECTOR MACHINES AND MARKOV RANDOM FIELDS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 The main idea of this paper is to integrate the non-contextual support vector machines (SVM) classifiers with Markov random fields (MRF) approach to develop a contextual framework for monitoring of agricultural land cover.
H. Vahidi, E. Monabbati
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Contextual interaction siamese network for few-shot hyperspectral image classification
Geo-spatial Information ScienceIn recent years, Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) have achieved significant progress in Hyperspectral Image (HSI) classification.
Qinhan Zhang +6 more
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Contextual classification of multispectral image data: Approximate algorithm [PDF]
, 1980 An approximation to a classification algorithm incorporating spatial context information in a general, statistical manner is presented which is computationally less intensive.
Tilton, J. C.
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LAND COVER CLASSIFICATION OF SATELLITE IMAGES USING CONTEXTUAL INFORMATION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 This paper presents a method for the classification of satellite images into multiple predefined land cover classes. The proposed approach results in a fully automatic segmentation and classification of each pixel, using a small amount of training data ...
B. Fröhlich +5 more
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