Extended morphological profiles analysis of airborne hyperspectral image classification using machine learning algorithms

Extended morphological profiles analysis of airborne hyperspectral image classification using machine learning algorithms

When morphological capabilities are used for the class of high decision hyperspectral photographs from metropolitan areas, one must not forget two crucial problems. Among which the primary one is that traditional morphological openings and closings degrade the object obstacles and distorts the items...

Full description

Bibliographic Details
Main Authors:	R. Anand, S. Veni, P. Geetha, S. Rama Subramoniam
Format:	Article
Language:	English
Published:	KeAi Communications Co., Ltd. 2021-01-01
Series:	International Journal of Intelligent Networks
Subjects:	Hyperspectral image Machine learning Empirical morphological profiles Support vector machine Classification Wavelength
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666603021000014

Similar Items

Multi-Channel Morphological Profiles for Classification of Hyperspectral Images Using Support Vector Machines
by: Javier Plaza, et al.
Published: (2009-01-01)

Hyperspectral Image Classification Based on Non-Parallel Support Vector Machine
by: Guangxin Liu, et al.
Published: (2022-05-01)

Peanut Frostbite Detection Method Based on Near Infrared Hyperspectral Imaging Technology
by: Cheng CUI, et al.
Published: (2024-03-01)

Hyperspectral Image Classification Based on a Least Square Bias Constraint Additional Empirical Risk Minimization Nonparallel Support Vector Machine
by: Guangxin Liu, et al.
Published: (2022-08-01)

Tree Species Classification Using Hyperspectral Imagery: A Comparison of Two Classifiers
by: Laurel Ballanti, et al.
Published: (2016-05-01)

Supervised Machine Learning Methods and Hyperspectral Imaging Techniques Jointly Applied for Brain Cancer Classification
by: Gemma Urbanos, et al.
Published: (2021-05-01)

Robust Classification Technique for Hyperspectral Images Based on 3D-Discrete Wavelet Transform
by: R Anand, et al.
Published: (2021-03-01)

Rapid and Non-destructive Classification of New and Aged Maize Seeds Using Hyperspectral Image and Chemometric Methods
by: Zheli Wang, et al.
Published: (2022-05-01)

Airborne Dual-Wavelength LiDAR Data for Classifying Land Cover
by: Cheng-Kai Wang, et al.
Published: (2014-01-01)

Pixel-Wise Classification of Hyperspectral Images With 1D Convolutional SVM Networks
by: Mayar A. Shafaey, et al.
Published: (2022-01-01)

Spectral-Similarity-Based Kernel of SVM for Hyperspectral Image Classification
by: Ke Wang, et al.
Published: (2020-07-01)

On Spectral-Spatial Classification of Hyperspectral Images Using Image Denoising and Enhancement Techniques, Wavelet Transforms and Controlled Data Set Partitioning
by: Andreia Valentina Miclea, et al.
Published: (2022-03-01)

A Novel Threshold Detection Technique for the Automatic Construction of Attribute Profiles in Hyperspectral Images
by: Arundhati Das, et al.
Published: (2020-01-01)

Quantum Based Pseudo-Labelling for Hyperspectral Imagery: A Simple and Efficient Semi-Supervised Learning Method for Machine Learning Classifiers
by: Riyaaz Uddien Shaik, et al.
Published: (2022-11-01)

Hyperspectral Imaging for Tissue Classification after Advanced Stage Ovarian Cancer Surgery—A Pilot Study
by: Sharline M. van Vliet-Pérez, et al.
Published: (2022-03-01)

Learnable hyperspectral measures
by: A. Galal, et al.
Published: (2012-07-01)

Classification of Fresh and Frozen-Thawed Beef Using a Hyperspectral Imaging Sensor and Machine Learning
by: Seongmin Park, et al.
Published: (2023-04-01)

Acceleration of Hyperspectral Skin Cancer Image Classification through Parallel Machine-Learning Methods
by: Bernardo Petracchi, et al.
Published: (2024-02-01)

Spectral-Spatial Hyperspectral Image Classification Using Subspace-Based Support Vector Machines and Adaptive Markov Random Fields
by: Haoyang Yu, et al.
Published: (2016-04-01)

Classification of Hyperspectral In Vivo Brain Tissue Based on Linear Unmixing
by: Ines A. Cruz-Guerrero, et al.
Published: (2020-08-01)

Neural Network Based Pavement Condition Assessment with Hyperspectral Images
by: Okan Bilge Özdemir, et al.
Published: (2020-11-01)

Hyperspectral Image Classification with the Orthogonal Self-Attention ResNet and Two-Step Support Vector Machine
by: Heting Sun, et al.
Published: (2024-03-01)

Improvement SVM Classification Performance of Hyperspectral Image Using Chaotic Sequences in Artificial Bee Colony
by: Cuijie Zhao, et al.
Published: (2020-01-01)

A decision-based multi-sensor classification system using thermal hyperspectral and visible data in urban area
by: Ghasem Abdi, et al.
Published: (2017-01-01)

An Advanced Spectral–Spatial Classification Framework for Hyperspectral Imagery Based on DeepLab v3+
by: Yifan Si, et al.
Published: (2021-06-01)

Fault classification in power systems using EMD and SVM
by: N. Ramesh Babu, et al.
Published: (2017-06-01)

Evaluation of Stem Rust Disease in Wheat Fields by Drone Hyperspectral Imaging
by: Jaafar Abdulridha, et al.
Published: (2023-04-01)

Hyperspectral Image Enhancement and Mixture Deep-Learning Classification of Corneal Epithelium Injuries
by: Siti Salwa Md Noor, et al.
Published: (2017-11-01)

A 3-Stage Spectral-Spatial Method for Hyperspectral Image Classification
by: Raymond H. Chan, et al.
Published: (2022-08-01)

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

A New GPU Implementation of Support Vector Machines for Fast Hyperspectral Image Classification
by: Mercedes E. Paoletti, et al.
Published: (2020-04-01)

Morphological Principal Component Analysis for Hyperspectral Image Analysis
by: Gianni Franchi, et al.
Published: (2016-06-01)

Deep Convolutional Neural Support Vector Machines for the Classification of Basal Cell Carcinoma Hyperspectral Signatures
by: Lloyd A. Courtenay, et al.
Published: (2022-04-01)

Hyperspectral image classification of wolfberry with different geographical origins based on three-dimensional convolutional neural network
by: Qingshuang Mu, et al.
Published: (2021-01-01)

UAVs, Hyperspectral Remote Sensing, and Machine Learning Revolutionizing Reef Monitoring
by: Mark Parsons, et al.
Published: (2018-06-01)

Determination of spectral resolutions for multispectral detection of apple bruises using visible/near-infrared hyperspectral reflectance imaging
by: Insuck Baek, et al.
Published: (2022-08-01)

An outlook: machine learning in hyperspectral image classification and dimensionality reduction techniques
by: Tatireddy Subba Reddy, et al.
Published: (2022-01-01)

Comparison Between Logistic Regression and Support Vector Machines For Classification Purposes
by: Furkan Başer, et al.
Published: (2015-12-01)

Spectral–spatial feature extraction using orthogonal linear discriminant analysis for classification of hyperspectral data
by: Hamid Reza Shahdoosti, et al.
Published: (2017-01-01)

Role of machine learning techniques in classification of peripheral pulse morphology
by: Nishant B Patil, et al.
Published: (2023-01-01)