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Articles

Hyperspectral image classification based on morphological profiles and decision fusion

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Pages 5830-5854 | Received 19 May 2016, Accepted 19 Jun 2017, Published online: 05 Jul 2017

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Obeid Sharifi, Mehdi Mokhtarzadeh & Behnam Asghari Beirami. (2022) A new deep learning approach for classification of hyperspectral images: feature and decision level fusion of spectral and spatial features in multiscale CNN. Geocarto International 37:14, pages 4208-4233.
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Behnam Asghari Beirami & Mehdi Mokhtarzade. (2022) Spatial-spectral classification of hyperspectral images based on multiple fractal-based features. Geocarto International 37:1, pages 231-245.
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Md. Palash Uddin, Md. Al Mamun, Masud Ibn Afjal & Md. Ali Hossain. (2021) Information-theoretic feature selection with segmentation-based folded principal component analysis (PCA) for hyperspectral image classification. International Journal of Remote Sensing 42:1, pages 286-321.
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Brajesh Kumar, Onkar Dikshit, Ashwani Gupta & Manoj Kumar Singh. (2020) Feature extraction for hyperspectral image classification: a review. International Journal of Remote Sensing 41:16, pages 6248-6287.
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Shrutika S. Sawant & Prabukumar Manoharan. (2019) New framework for hyperspectral band selection using modified wind-driven optimization algorithm. International Journal of Remote Sensing 40:20, pages 7852-7873.
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Articles from other publishers (12)

Spiros Papadopoulos, Georgia Koukiou & Vassilis Anastassopoulos. (2024) Decision Fusion at Pixel Level of Multi-Band Data for Land Cover Classification—A Review. Journal of Imaging 10:1, pages 15.
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Pankaj, Brajesh Kumar, P. K. Bharti, Vibhor Kumar Vishnoi, Krishan Kumar, Shashank Mohan & Krishan Pal Singh. (2023) Paddy yield prediction based on 2D images of rice panicles using regression techniques. The Visual Computer.
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Reaya Grewal, Singara Singh Kasana & Geeta Kasana. (2022) Hyperspectral image segmentation: a comprehensive survey. Multimedia Tools and Applications 82:14, pages 20819-20872.
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Erlei Zhang, Jiayi Zhang, Jiaxin Bai, Jiarong Bian, Shaoyi Fang, Tao Zhan & Mingchen Feng. (2023) Attention-Embedded Triple-Fusion Branch CNN for Hyperspectral Image Classification. Remote Sensing 15:8, pages 2150.
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Manoj Kumar Singh, Shashank Mohan & Brajesh Kumar. (2022) Fusion of hyperspectral and LiDAR data using sparse stacked autoencoder for land cover classification with 3D-2D convolutional neural network. Journal of Applied Remote Sensing 16:03.
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Xuefei Li, Baodi Liu, Kai Zhang, Honglong Chen, Weijia Cao, Weifeng Liu & Dapeng Tao. (2022) Multi-view learning for hyperspectral image classification: An overview. Neurocomputing 500, pages 499-517.
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Jiansi Ren, Ruoxiang Wang, Gang Liu, Yuanni Wang & Wei Wu. (2020) An SVM-Based Nested Sliding Window Approach for Spectral–Spatial Classification of Hyperspectral Images. Remote Sensing 13:1, pages 114.
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Fengshuang Liu & Qiang Wang. (2020) A sparse tensor-based classification method of hyperspectral image. Signal Processing 168, pages 107361.
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Asma FEJJARI, Karim SAHEB ETTABAA & Ouajdi KORBAA. (2020) Hyperspectral Feature Extraction by Tensor Modeling and Intrinsic Decomposition. Procedia Computer Science 176, pages 561-571.
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Manoharan Prabukumar & Sawant Shrutika. (2018) Band clustering using expectation–maximization algorithm and weighted average fusion-based feature extraction for hyperspectral image classification. Journal of Applied Remote Sensing 12:04, pages 1.
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Manoharan Prabukumar, Shrutika Sawant, Sathishkumar Samiappan & Loganathan Agilandeeswari. (2018) Three-dimensional discrete cosine transform-based feature extraction for hyperspectral image classification. Journal of Applied Remote Sensing 12:04, pages 1.
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Mohammad Ghassemi, Hassan Ghassemian & Maryam Imani. (2018) Deep Belief Networks for Feature Fusion in Hyperspectral Image Classification. Deep Belief Networks for Feature Fusion in Hyperspectral Image Classification.

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