Your browser does not support JavaScript!
banner image
image of Volume 13, Issue 2
Online ISSN 1751-9667 Print ISSN 1751-9659

access icon free IET Image Processing

Volume 13, Issue 2, 07 February 2019

Volume 13, Issue 2

07 February 2019

Show / Hide details
    • Spatial-spectral classification of hyperspectral images: a deep learning framework with Markov Random fields based modelling
      Convolutional neural network in network (CNNiN): hyperspectral image classification and dimensionality reduction
      Weighted Kernel joint sparse representation for hyperspectral image classification
      Hyperspectral image clustering via sparse dictionary-based anchored regression
      Morphology-based structure-preserving projection for spectral–spatial feature extraction and classification of hyperspectral data
      Hyperspectral band selection using crossover-based gravitational search algorithm
      Combined FATEMD-based band selection method for hyperspectral images
      Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images
      Spectral clustering and spatial Frobenius norm-based Jaya optimisation for BS of hyperspectral images
      Target detection of hyperspectral image based on spectral saliency
      Selecting optimal bands for sub-pixel target detection in hyperspectral images based on implanting synthetic targets
      Endmember extraction from hyperspectral imagery based on QR factorisation using givens rotations
      Bilinear normal mixing model for spectral unmixing
      Comparison of altered mineral information extracted from ETM+, ASTER and Hyperion data in Águas Claras iron ore, Brazil
    • High-density impulse noise detection and removal using deep convolutional neural network with particle swarm optimisation
      Optic disc segmentation in fundus images using adversarial training
      Late fusion of deep learning and handcrafted visual features for biomedical image modality classification
      Hyperspectral imaging classification based on convolutional neural networks by adaptive sizes of windows and filters
      Weighted similarity and distance metric learning for unconstrained face verification with 3D frontalisation

Most viewed content


Most cited content for this Journal

This is a required field
Please enter a valid email address