Semisupervised classification of hyperspectral remote sensing images with spatial majority voting

Majority Voting ◽

Remote Sensing Images ◽

Semisupervised Classification ◽

One-class Classifier Ensemble based Enhanced Semisupervised Classification of Hyperspectral Remote Sensing Images

2020 International Conference on Emerging Smart Computing and Informatics (ESCI) ◽

10.1109/esci48226.2020.9167650 ◽

2020 ◽

Author(s):

Pangambam Sendash Singh ◽

Vijendra Pratap Singh ◽

Manish Kumar Pandey ◽

Subbiah Karthikeyan

Keyword(s):

Remote Sensing ◽

Classifier Ensemble ◽

Remote Sensing Images ◽

Semisupervised Classification ◽

One Class Classifier ◽

Spectral-Spatial Classification of Hyperspectral Remote Sensing Images Using Minimum Spanning Forest and Markov Random Field Classifier

Journal of Environmental Science Computer Science and Engineering & Technology ◽

10.24214/jecet.a.10.4.67488 ◽

2021 ◽

Vol 10 (4) ◽

Keyword(s):

Remote Sensing ◽

Random Field ◽

Markov Random Field ◽

Remote Sensing Images ◽

Spanning Forest ◽

Markov Random ◽

Minimum Spanning Forest ◽

Maximum Likelihood Estimation-Based Joint Sparse Representation for the Classification of Hyperspectral Remote Sensing Images

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2018.2874432 ◽

2019 ◽

Vol 30 (6) ◽

pp. 1790-1802 ◽

Cited By ~ 17

Author(s):

Jiangtao Peng ◽

Luoqing Li ◽

Yuan Yan Tang

Keyword(s):

Remote Sensing ◽

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Sparse Representation ◽

Likelihood Estimation ◽

Remote Sensing Images ◽

Joint Sparse Representation ◽

Small Sample Classification of Hyperspectral Remote Sensing Images Based on Sequential Joint Deeping Learning Model

IEEE Access ◽

10.1109/access.2020.2986267 ◽

2020 ◽

Vol 8 ◽

pp. 71353-71363 ◽

Cited By ~ 11

Author(s):

Zesong Wang ◽

Cui Zou ◽

Weiwei Cai

Keyword(s):

Remote Sensing ◽

Learning Model ◽

Small Sample ◽

Remote Sensing Images ◽

Sample Classification ◽

Unsupervised Multi-manifold Classification of Hyperspectral Remote Sensing Images with Contractive Autoencoder

Image Analysis - Lecture Notes in Computer Science ◽

10.1007/978-3-319-59129-2_15 ◽

2017 ◽

pp. 169-180 ◽

Cited By ~ 1

Author(s):

Aidin Hassanzadeh ◽

Arto Kaarna ◽

Tuomo Kauranne

Keyword(s):

Remote Sensing ◽

Remote Sensing Images ◽

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) ◽

Terrain classification of hyperspectral remote sensing images based on kernel maximum margin criterion

10.1109/fskd.2017.8393012 ◽

2017 ◽

Author(s):

Jing Liu ◽

Cheng-cheng Qiu ◽

Yi Liu

Keyword(s):

Remote Sensing ◽

Terrain Classification ◽

Remote Sensing Images ◽

Maximum Margin ◽

Maximum Margin Criterion ◽

Classification of Hyperspectral Remote Sensing Images Using Gaussian Processes

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2008.4779169 ◽

2008 ◽

Cited By ~ 7

Author(s):

Yakoub Bazi ◽

Farid Melgani

Keyword(s):

Remote Sensing ◽

Gaussian Processes ◽

Remote Sensing Images ◽

Classification of Hyperspectral Remote Sensing Images with Support Vector Machines and Particle Swarm Optimization

2009 International Conference on Information Engineering and Computer Science ◽

10.1109/iciecs.2009.5363456 ◽

2009 ◽

Cited By ~ 8

Author(s):

Sheng Ding ◽

Li Chen

Keyword(s):

Remote Sensing ◽

Particle Swarm Optimization ◽

Support Vector Machines ◽

Support Vector ◽

Remote Sensing Images ◽

Swarm Optimization ◽

Vector Machines ◽

Effect of pooling strategy on convolutional neural network for classification of hyperspectral remote sensing images

IET Image Processing ◽

10.1049/iet-ipr.2019.0561 ◽

2020 ◽

Vol 14 (3) ◽

pp. 480-486 ◽

Cited By ~ 2

Author(s):

Somenath Bera ◽

Vimal K. Shrivastava

Keyword(s):

Neural Network ◽

Remote Sensing ◽

Convolutional Neural Network ◽

Remote Sensing Images ◽

Pooling Strategy ◽

Efficient ELM-Based Techniques for the Classification of Hyperspectral Remote Sensing Images on Commodity GPUs

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2014.2384133 ◽

2015 ◽

Vol 8 (6) ◽

pp. 2884-2893 ◽

Cited By ~ 36

Author(s):

Javier Lopez-Fandino ◽

Pablo Quesada-Barriuso ◽

Dora B. Heras ◽

Francisco Arguello

Keyword(s):

Remote Sensing ◽

Remote Sensing Images ◽