0% Complete
صفحه اصلی
/
بیست و نهمین کنفرانس مهندسی برق ایران
Contextual and Spectral Feature Fusion Using Local Binary Graph for Hyperspectral Images Classification
نویسندگان :
Zahra Farmahini Farahani
1
Hassan Ghassemian
2
Maryam Imani
3
1- دانشگاه تربیت مدرس
2- دانشگاه تربیت مدرس
3- دانشگاه تربیت مدرس
کلمات کلیدی :
spectral-spatial, classification, hyperspectral, feature fusion, local graph
چکیده :
So far, many methods have been developed to fuse the spectral and spatial features for hyperspectral image processing. There are several approaches for HS image classification. But, the best approch is using spectral features and spatial features simultaneously. So, one of the challenges for researchers is fusing spectral and spatial features. Local Binary Graph (LBG) is one of the efficient techniques among them. An improved version of LBG is proposed in this paper, which involves the class label for feature extraction to minimize within class similarity. The proposed method considers three constraints for selection of the nearest spectral-spatial neighbors and sharing between them. The constraints include the minimum distance of the spectral features vector, minimum distance of the spatial features vector and belonging to the same class. So, the proposed method can fuse the spectral and spatial features with increasing the class discrimination ability. The experiments show that the proposed method improves the overall classification accuracy on Pavia University and Indian pines data sets more than 20% and 5%, respectively.
لیست مقالات
لیست مقالات بایگانی شده
Higher Derivatives Extremum Seeking with Very Slow/ Drifting Sensor
Farzaneh Karimi - Mohsen Mojiri
A straightforward approach for measuring blood pressure in an upper arm digital blood pressure monitor
Mohammad Soroush Rezaei - Mahdi Khalilzadeh Shabestari - Seyed Yousef Jazaery Farsany - Danial Katoozian - Hossein Hosseini-Nejad
Efficient and Fast Analysis of SIW Microwave Devices Using the Multiple Multipole Technique
Ahmad Bakhtafrouz - Mohammad Moemenian - Mohsen Maddahali - Mohsen Karimian Kakolaki
Low-Power Fano Resonance-Based MIM Plasmonic Switch Using Kerr-Type Nonlinear Material
Yousef Karimi - Hassan Kaatuzian
A Robust Video Steganography using 3D-CNN and Maximum Mean Discrepancy Cost Function
Ali Ghofrani - Rahil Mahdian Toroghi - Hassan Zareian
Classifying Human Spatial Navigation Anxiety Using Electrooculography Signals and Machine Learning Techniques
Saeed Mousavi - Sara Ashrafi - Mehdi Delrobaei
Multi-Objective Concurrent Kernel Scheduling for Multi-GPU Systems
Negar Baradar Alizadeh - Mahmoud Momtazpour
A Comprehensive Analysis Method to Improve the Operation of Transmission Networks from the Perspective of Resonance and Ferroresonance phenomena
MohamadAli Amini - Mehdi SALAY NADERI - Ali Asghar Farrokhi Raad - Gevork B. Gharehpetian
Evaluation of Different Connectivity Methods for Obsessive Compulsive Disorder Diagnosis
Samandokht Rashidi - Amin Abdipourasl - Fatemeh Jamaloo - Reza Rostami
Connective Reconstruction-based Novelty Detection
Seyyed Morteza Hashemi - Parvaneh Aliniya - Parvin Razzaghi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.0.4