EMAP-DCNN: A NOVEL MATHEMATICAL MORPHOLOGY AND DEEP LEARNING COMBINED FRAMEWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION

EMAP-DCNN: A NOVEL MATHEMATICAL MORPHOLOGY AND DEEP LEARNING COMBINED FRAMEWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION

The classification of hyperspectral image (HSI) with high spectral and spatial resolution represents an important and challenging task in image processing and remote sensing (RS) domains due to the problem of computational complexity and big dimensionality of the remote sensing images. The spatial a...

Full description

Bibliographic Details
Main Authors:	H. Teffahi, N. Teffahi
Format:	Article
Language:	English
Published:	Copernicus Publications 2020-08-01
Series:	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2020/479/2020/isprs-archives-XLIII-B3-2020-479-2020.pdf

Similar Items

Hyperspectral Image Denoising and Classification Using Multi-Scale Weighted EMAPs and Extreme Learning Machine
by: Meizhuang Liu, et al.
Published: (2020-12-01)

Pour une anthropologie philosophique contemporaine
by: Teffahi, Abdellah
Published: (2011)

Patch-Wise Semantic Segmentation for Hyperspectral Images via a Cubic Capsule Network with EMAP Features
by: Le Sun, et al.
Published: (2021-09-01)

CSA-MSO3DCNN: Multiscale Octave 3D CNN with Channel and Spatial Attention for Hyperspectral Image Classification
by: Qin Xu, et al.
Published: (2020-01-01)

Hyperspectral Image Classification Based on Mathematical Morphology and Tensor Decomposition
by: Jouni Mohamad, et al.
Published: (2020-03-01)

A General Approach to Combining MCTS with DCNN
by: Lan, Li-Cheng, et al.
Published: (2017)

Mammographic Classification Based on XGBoost and DCNN With Multi Features
by: Runyu Song, et al.
Published: (2020-01-01)

SYNERGETICS FRAMEWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION
by: R. Müller, et al.
Published: (2013-05-01)

Medicine Classification based on Deep Learning and Hyperspectral Imaging
by: TUNG, I-CHEN, et al.
Published: (2018)

Epitope-preserving magnified analysis of proteome (eMAP)
by: Park, Joha, et al.
Published: (2021)

Semi-Supervised Methods for Classification of Hyperspectral Images with Deep Learning
by: Örnberg, Oscar
Published: (2020)

Learning a Deep Similarity Network for Hyperspectral Image Classification
by: Bing Yang, et al.
Published: (2021-01-01)

Improved Deep Convolutional Neural Networks (DCNN) Approaches for Computer Vision and Bio-Medical Imaging
by: Alom, Md Zahangir
Published: (2018)

Human Activity Recognition Using RGB Images and DCNN
by: CHEN, HONG-SYUAN, et al.
Published: (2019)

Morphological Attribute Profile Cube and Deep Random Forest for Small Sample Classification of Hyperspectral Image
by: Bing Liu, et al.
Published: (2020-01-01)

Morphological Convolutional Neural Networks for Hyperspectral Image Classification
by: Swalpa Roy, et al.
Published: (2021-01-01)

Deep Convolutional Neural Networks for Hyperspectral Image Classification
by: Wei Hu, et al.
Published: (2015-01-01)

Deep Residual Involution Network for Hyperspectral Image Classification
by: Zhe Meng, et al.
Published: (2021-08-01)

Interaction of antitumor cytokine EMAP II with hydroxypropyl-beta-cyclodextrin
by: A. Malyna, et al.
Published: (2016-08-01)

A Conceptual Framework for Greener Goldmining through Environmental Management Accounting Practices (EMAPs): The Case of Zimbabwe
by: Moses Nyakuwanika, et al.
Published: (2021-09-01)

<i>D-dCNN</i>: A Novel Hybrid Deep Learning-Based Tool for Vibration-Based Diagnostics
by: Ugochukwu Ejike Akpudo, et al.
Published: (2021-08-01)

Segmentation of MRI Brain Tumor Image using Optimization based Deep Convolutional Neural networks (DCNN)
by: Mishra Pradipta Kumar, et al.
Published: (2021-06-01)

Explainable DCNN based chest X-ray image analysis and classification for COVID-19 pneumonia detection
by: Jie Hou, et al.
Published: (2021-08-01)

Research on Hyperspectral Image Classification Algorithm Based on Unsupervised Deep Learning
by: Long,Hao, et al.
Published: (2019)

A Deep few-shot learning algorithm for hyperspectral image classification
by: LIU Bing, et al.
Published: (2020-10-01)

Processing and release of the novel pro-inflammatory polypeptide EMAP-2 by human prostate cancer cells
by: Barnett, Geordina A.
Published: (1999)

Parking Slot Detection on Around-View Images Using DCNN
by: Wei Li, et al.
Published: (2020-07-01)

Deep 3D convolutional network combined with spatial-spectral features for hyperspectral image classification
by: LIU Bing, et al.
Published: (2018-01-01)

Performance of Change Detection Algorithms Using Heterogeneous Images and Extended Multi-attribute Profiles (EMAPs)
by: Chiman Kwan, et al.
Published: (2019-10-01)

A Novel Approach to Hyperspectral Image Classification
by: Yang-Lang Chang, et al.
Published: (2003)

SPATIAL-SPECTRAL MORPHOLOGICAL FEATURE EXTRACTION FOR HYPERSPECTRAL IMAGES CLASSIFICATION
by: M. Dowlatshah, et al.
Published: (2019-10-01)

Dynamic Wide and Deep Neural Network for Hyperspectral Image Classification
by: Jiangbo Xi, et al.
Published: (2021-07-01)

Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks
by: Kamil Książek, et al.
Published: (2020-11-01)

Deep Relation Network for Hyperspectral Image Few-Shot Classification
by: Kuiliang Gao, et al.
Published: (2020-03-01)

A DIVERSIFIED DEEP BELIEF NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION
by: P. Zhong, et al.
Published: (2016-06-01)

Deep Induction Network for Small Samples Classification of Hyperspectral Images
by: Kuiliang Gao, et al.
Published: (2020-01-01)

Deep Multilayer Fusion Dense Network for Hyperspectral Image Classification
by: Zhaokui Li, et al.
Published: (2020-01-01)

The Evaluation of DCNN on Vector-SIMD DSP
by: Chao Yang, et al.
Published: (2019-01-01)

NANOCOMPOSITE COMPLEX EMAP II INFLUENCE ON TUMOR NECROSIS FACTOR AND INTERFERON
by: L. A. Kolomiets-Babenko, et al.
Published: (2016-10-01)

The biological role and clinical significance of EMAP-II expression in colorectal cancer
by: Youssef, Manal Mohamed Saber
Published: (2006)