Results 1 to 10 of about 253,119 (310)
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
doaj +5 more sources
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
doaj +5 more sources
Cross Modal Few-Shot Contextual Transfer for Heterogenous Image Classification [PDF]
Frontiers in Neurorobotics, 2021 Deep transfer learning aims at dealing with challenges in new tasks with insufficient samples. However, when it comes to few-shot learning scenarios, due to the low diversity of several known training samples, they are prone to be dominated by ...
Zhikui Chen +6 more
doaj +3 more sources
Contextual classification of multispectral image data [PDF]
Pattern Recognition, 1981 Abstract Compound decision theory is invoked to develop a method for classifying image data using spatial context. Methods for characterizing contextual information in an image are proposed and tested. Experimental results based on both simulated and real multispectral remote sensing data demonstrate the effectiveness of the contextual classifier.
Philip H. Swain +2 more
openaire +2 more sources
Going Deeper With Contextual CNN for Hyperspectral Image Classification [PDF]
IEEE Transactions on Image Processing, 2017 14 ...
Hyungtae Lee, Heesung Kwon
openaire +5 more sources
A Dual Multi-Head Contextual Attention Network for Hyperspectral Image Classification [PDF]
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
doaj +2 more sources
Contextual multi-scale image classification on quadtree [PDF]
2016 IEEE International Conference on Image Processing (ICIP), 2016 In this paper, we propose a novel hierarchical method for remote sensing image classification. The proposed approach integrates an explicit hierarchical graph-based classifier, which uses a quad-tree structure to model multiscale interactions, and a third order Markov mesh random field to deal with pixel wise contextual information in the same scale ...
HEDHLI, IHSEN +3 more
openaire +4 more sources
Fine-grained image classification using the MogaNet network and a multi-level gating mechanism. [PDF]
Front NeurorobotFine-grained image classification tasks face challenges such as difficulty in labeling, scarcity of samples, and small category differences. To address this problem, this study proposes a novel fine-grained image classification method based on the ...
Li D, Chen S.
europepmc +2 more sources
Combining Global and Local Information for Knowledge-Assisted Image Analysis and Classification
EURASIP Journal on Advances in Signal Processing, 2007 A learning approach to knowledge-assisted image analysis and classification is proposed that combines global and local information with explicitly defined knowledge in the form of an ontology. The ontology specifies the domain of interest, its subdomains,
M. G. Strintzis +3 more
doaj +2 more sources
IET Radar, Sonar & Navigation, 2022 There are two types of important information in a polarimetric synthetic aperture radar (PolSAR) image: spatial features in two dimensions and polarimetric characteristics in the scattering dimension. Considering both polarimetric and spatial information
Maryam Imani
doaj +1 more source