GACP: graph neural networks with ARMA filters and a parallel CNN for hyperspectral image classification

[1]  A. Sharifi,et al.  Assessing spatio-temporal mapping and monitoring of climatic variability using SPEI and RF machine learning models , 2022, Geocarto International.

[2]  Edinburgh,et al.  An Artificial Neural Network Algorithm to Retrieve Chlorophyll a for Northwest European Shelf Seas from Top of Atmosphere Ocean Colour Reflectance , 2022, Remote. Sens..

[3]  Zipeng Zhang,et al.  Exploring the potential of UAV hyperspectral image for estimating soil salinity: Effects of optimal band combination algorithm and random forest. , 2022, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

[4]  T. Dube,et al.  Remote sensing of land use-land cover change and climate variability on hydrological processes in Sub-Saharan Africa: key scientific strides and challenges , 2022, Geocarto International.

[5]  Jian Yang,et al.  Neighborhood linear discriminant analysis , 2021, Pattern Recognit..

[6]  Licheng Jiao,et al.  Lightweight Multilevel Feature Fusion Network for Hyperspectral Image Classification , 2021, Remote Sensing.

[7]  M. Koklu,et al.  A CNN-SVM Study based on selected deep features for grapevine leaves classification , 2021, Measurement.

[8]  Yi Li,et al.  Scale fusion light CNN for hyperspectral face recognition with knowledge distillation and attention mechanism , 2021, Applied Intelligence.

[9]  Adnan Mohsin Abdulazeez,et al.  A Review of Principal Component Analysis Algorithm for Dimensionality Reduction , 2021 .

[10]  Zhijie Lin,et al.  A survey: Deep learning for hyperspectral image classification with few labeled samples , 2021, Neurocomputing.

[11]  P. V. Raju,et al.  Mapping of intra-season dynamics in the cropping pattern using remote sensing for irrigation management , 2021, Geocarto International.

[12]  M. Arora,et al.  Application of remotely sensed sea surface temperature for assessment of recurrent coral bleaching (2014–2019) impact on a marginal coral ecosystem , 2021, Geocarto International.

[13]  Xiaotong Sun,et al.  Hyperspectral Image Classification with Localized Graph Convolutional Filtering , 2021, Remote. Sens..

[14]  Ying-Nong Chen,et al.  Feature Line Embedding Based on Support Vector Machine for Hyperspectral Image Classification , 2021, Remote. Sens..

[15]  Miao Yu,et al.  Sea ice conditions and navigability through the Northeast Passage in the past 40 years based on remote-sensing data , 2020, Int. J. Digit. Earth.

[16]  Jiangtao Peng,et al.  Maximum Likelihood Estimation Based Nonnegative Matrix Factorization for Hyperspectral Unmixing , 2021, Remote. Sens..

[17]  Fuad A. Ghaleb,et al.  RS-DCNN: A novel distributed convolutional-neural-networks based-approach for big remote-sensing image classification , 2021, Comput. Electron. Agric..

[18]  Fuding Xie,et al.  Hyperspectral Image Classification Based on Superpixel Pooling Convolutional Neural Network with Transfer Learning , 2021, Remote. Sens..

[19]  Yaoming Cai,et al.  Densely connected convolutional extreme learning machine for hyperspectral image classification , 2021, Neurocomputing.

[20]  Ji Zhao,et al.  WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets and classifier for precise crop identification based on deep convolutional neural network with CRF , 2020 .

[21]  Johan Oszwald,et al.  Assessing the ecological vulnerability of forest landscape to agricultural frontier expansion in the Central Highlands of Vietnam , 2020, Int. J. Appl. Earth Obs. Geoinformation.

[22]  Antonio Plaza,et al.  A new deep convolutional neural network for fast hyperspectral image classification , 2017, ISPRS Journal of Photogrammetry and Remote Sensing.

[23]  S. Tabbone,et al.  Deep neural networks-based relevant latent representation learning for hyperspectral image classification , 2022, Pattern Recognit..