A hybrid entropy decomposition and support vector machine method for agricultural crop type classification

QR Code

A hybrid entropy decomposition and support vector machine method for agricultural crop type classification

This paper presents the development of Synthetic Aperture Radar (SAR) image classifier based on the hybrid method of "Entropy Decomposition and Support Vector Machine" (EDSVM) for agricultural crop type classification. The Support Vector Machine (SVM) is successfully applied to the key par...

Full description

Bibliographic Details
Main Authors:	Tan, Chue Poh, Ewe, Hong Tat, Chuah, Hean Teik
Format:	Conference or Workshop Item
Published:	2007
Subjects:	T Technology (General) QA75.5-76.95 Electronic computers. Computer science
Online Access:	http://shdl.mmu.edu.my/3238/

Similar Items

Classification of multi-temporal SAR images for rice crops using combined Entropy Decomposition and Support Vector Machine technique
by: Tan, Chue Poh, et al.
Published: (2007)

Hybrid Entropy Decomposition And Support Vector Machine Method For Image Classification For Crop Fields
by: Tan, Chue Poh
Published: (2007)

Crop classification and yield prediction using robust machine learning models for agricultural sustainability
by: Badshah, Abid, et al.
Published: (2024)

A study of fresnel scattered fields for ellipsoidal, and elliptic-disk-shaped scatterers
by: Koay, Jun Yi, et al.
Published: (2008)

IPv6 packet classification based on flow label, source and destination addresses
by: Poh, Eric C. K., et al.
Published: (2005)

An Improved RDWT-based Image Steganography Scheme with QR Decomposition and Double Entropy
by: Ng, Ke-Huey, et al.
Published: (2020)

Electromagnetic scattering from an electrically dense vegetation medium
by: Ewe, Hong Tat, et al.
Published: (2000)

Waste classification using support vector machine with SIFT-PCA feature extraction
by: Puspaningrum, Adita Putri, et al.
Published: (2020)

Paddy Fields as Electrically Dense Media: Theoretical Modeling and Measurement Comparisons
by: Koay, Jun Yi, et al.
Published: (2007)

A Machine Learning Classification Approach To Detect Tls-Based Malware Using Entropy-Based Flow Set Features
by: Keshkeh, Kinan
Published: (2022)

Texture classification using wavelet transform and support vector machines
by: Yeo, Alvin Zong Yun
Published: (2011)

Combined support vector machine and pattern matching for hadith question classification system
by: Ali Muttaleb, Hasan, et al.
Published: (2018)

Crop classification by a support vector machine with intelligently selected training data for an operational application
by: Mathur, Ajay, et al.
Published: (2008)

Hybridization Of Optimized Support Vector Machine And Artificial Neural Network For The Diabetic Retinopathy Classification Problem
by: Kader, Nur Izzati Ab
Published: (2019)

Email categorization using support vector machine
by: Mohd. Daud, Mariah
Published: (2004)

Mammogram breast cancer classification using Support Vector Machines (SVM) / Nur Syafiqah Sahrudin
by: Sahrudin, Nur Syafiqah
Published: (2020)

Hybrid machine learning model based on feature decomposition and entropy optimization for higher accuracy flood forecasting
by: Mohd Khairudin, Nazli, et al.
Published: (2024)

Hybrid machine learning model based on feature decomposition and entropy optimization for higher accuracy flood forecasting
by: Mohd Khairudin, Nazli, et al.
Published: (2024)

An enhanced feature selection and cancer classiﬁcation for microarray data using relaxed Lasso and support vector machine
by: Aina Umairah, Mazlan, et al.
Published: (2021)

GIS-Enhanced Crop Yield Modeling with Machine Learning
by: Venkatesh, S.D., et al.
Published: (2024)

Improving sentiment reviews classification performance using support vector machine-fuzzy matching algorithm
by: Nurcahyawati, Vivine, et al.
Published: (2023)

A support vector machine classification of computational capabilities of 3D map on mobile device for navigation aid
by: Abubakar, Adamu, et al.
Published: (2016)

Online handwriting recognition using support vector machine
by: Ahmad, Abdul Rahim, et al.
Published: (2004)

Textured Renyl Entropy for Image Thresholding
by: Abu Shareha, Ahmad Adel, et al.
Published: (2008)

Support vector machine in precision agriculture: a review
by: Kok, Zhi Hong, et al.
Published: (2021)

The Crop Price Prediction Using Machine Learning: Preliminary Stage
by: Ramya, T.K., et al.
Published: (2024)

Comparative analysis of support vector machine, maximum likelihood and neural network classification on multispectral remote sensing data
by: Ahmad, Asmala, et al.
Published: (2018)

Fingertip detection using histogram of gradients and support vector machine
by: Sophian, Ali, et al.
Published: (2017)

Stock market predicton using support vector machines
by: Md. Sap, Mohd. Noor, et al.
Published: (2005)

Robust routing table design for IPv6 lookup
by: Yong, S. M., et al.
Published: (2005)

A model for secure knowledge sharing
by: Ismail Ahmad,, et al.
Published: (2005)

Towards authentication of beef, chicken and lard using micro near-infrared spectrometer based on support vector machine classification
by: Alfar, Ibrahim J., et al.
Published: (2016)

Permutation entropy based full-reference image quality qssessment
by: Baqar, Mohtashim *, et al.
Published: (2019)

Modified word representation vector based scalar weight for contextual text classification
by: Abbas Saliimi, Lokman
Published: (2024)

Fingerprint classification using support vector machine
by: Ho, Kah Weng
Published: (2020)

Predicting uniaxial compressive strength using Support Vector Machine algorithm
by: Zakaria, Hafedz, et al.
Published: (2019)

One-class support vector machines for protein-protein interactions prediction
by: Alashwal, H., et al.
Published: (2006)

A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem
by: Mohd Pozi, Muhammad Syafiq
Published: (2016)

Improved relative discriminative criterion using rare and informative terms and ringed seal search-support vector machine techniques for text classification
by: Sharif, Wareesa
Published: (2019)

Leak diagnosis of pipeline based on empirical mode decomposition and support vector machine
by: Atik, Faysal, et al.
Published: (2021)