[PDF] Top 20 Hyperspectral image classification via contextual deep learning
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Hyperspectral image classification via contextual deep learning
... proposed contextual deep learning (CDL) algorithm with multinomial logis- tic regression (MLR) as output layer is compared to other widely used spectral-spatial classification methods, ... See full document
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Spatial-spectral classification of hyperspectral images : a deep learning framework with Markov random fields based modeling
... spatial-spectral classification of hyperspectral images (HSI), a deep learning framework is proposed in this paper, which consists of convolutional neural networks (CNN) and Markov random ... See full document
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A Survey of Fine Grained Image Classification Based on Deep Learning
... The deep learning technology has shown impressive performance in various vision tasks such as image classification and object ...of deep learning techniques bring encouraging ... See full document
8
Deep Transfer Learning for Few-shot SAR Image Classification
... is used on both the source and the target domain. This is analogous to our formulation as the classifier network is shared across the domains in our framework. They use a standard PAC-learning formalism. ... See full document
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Multiscale spatial-spectral convolutional network with image-based framework for hyperspectral imagery classification
... An image pyramid refers to an image that is subject to repeated smoothing and subsampling and generates a series of weighted down images ...Gaussian image pyramid was used to generate images with ... See full document
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EEG-based image classification via a region-level stacked bi-directional deep learning framework
... using deep learning framework for EEG-based image classification, the original EEG data or the extracted time- frequency features based on signal analysis algorithms are often used as the ... See full document
11
Deep Learning-Based Classification of Remote Sensing Image
... that deep learning-based classification network can extract features from the image, achieve hierarchical abstraction, founded on a certain number of labeled data-set and generate a ... See full document
5
The Unsupervised Gravitational Mass Weighted Probability PCA For Pixel-Wise And Sub-Pixel Wise Classification
... supervised learning feature extraction models, The PCA, ICA, and other sparse based algorithms are used to derive the spectral and spatial ...the deep features of hyperspectral ...the ... See full document
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Hyperspectral Image Segmentation and Classification using FODPSO
... and classification. SVM classifier has a fast learning speed even in large ...The Classification and detection of information was done by using the Support Vector Machine ...technique. ... See full document
6
Hyperspectral Image Classification using Softcomputing Techniques: A Review
... The hyperspectral classification falls into two major categories such as spectral classification and the spatial ...spectral classification, the reflectance values of the pixels at different ... See full document
8
Advances in Scene Classification of Remotely Sensed High Resolution Images and the Existing Datasets
... scene classification aims at improving the accuracy using the existing ...The deep learning architectures are more powerful with millions of parameters which does not match with the quantity of ... See full document
5
Research on image classification model based on deep convolution neural network
... Especially, image classification tech- nology, from the initial theoretical research to clinical diagnosis, has provided effective assistance for the diag- nosis of various ...the image is the ... See full document
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A Comparative Analysis of Hyperspectral and Multispectral Image Classification Techniques
... For multiclass problem, the one-vs-one voting scheme can be used. The multitask SLR (MTSLR) is used for the simultaneous training of two SLR models with the label samples in the source and target scenes. But, the two SLR ... See full document
9
Spectral-spatial Feature Extraction for Hyperspectral Image Classification
... for hyperspectral images, the random sampling is usually undertaken on the same ...the image and the testing samples will locate adjacent to ...supervised hyperspectral image ... See full document
179
Enhancing Histopathological Breast Cancer Image Classification using Deep Learning
... Machine Learning and Deep Learning approaches have been implemented for Breast cancer ...compared. Deep learning approaches like CNN are also studied and various performance measures ... See full document
9
An Efficient Automated Deep Learning Model For Diatom Image Segmentation And Classification
... Simultaneously, deep learning (DL) also becomes an important model applied for various image classification ...and classification. Here, a deep learning based Inception ... See full document
9
Automatic Plastic Waste Segregation And Sorting Using Deep Learning Model
... Volume of waste generation is growing rapidly year by year. Recycling is necessary for a sustainable society. Plastic bottles are thrown away by the people once it is used . Recycling also helps to cut down the amount of ... See full document
5
A Deep Learning Model for Image Classification
... Class image Classification, we created the dataset by crawling five different products such as Trees, Sunset, water, desert and ...The image data set consists of 2,000 natural scene images, where a ... See full document
5
Uncertainty assessment of hyperspectral image classification: Deep learning vs random forest
... of classification accuracy, which can be used to locate and segregate unreliable pixel-level class allocations from reliable ...of classification approaches: unsupervised schemes using no training dataset ... See full document
15
Hyperspectral image enhancement and mixture deep-learning classification of corneal epithelium injury
... of hyperspectral imaging and image processing techniques has the potential to become a viable alternative solution in the assessment of corneal epithelium injury without the need for traditional contacting ... See full document
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