3D-MACNet: A Multiscale Asymetric Convolution Network for Feature Extraction and Classification of Hyperspectral Images-Reference-Cited by-同舟云学术

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3D-MACNet: A Multiscale Asymetric Convolution Network for Feature Extraction and Classification of Hyperspectral Images

Published:2023-11-03 Issue: Volume: Page:499-504
ISSN:
Container-title:2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)
language:
Short-container-title:

Author:

Kanthi Murali¹,Ravi Kumar K. C.²,Seelothu Sammaiah³,K Sudha Pavani¹,Bhaskar Nuthanakanti¹,Sarma T. Hitendra⁴

Affiliation:

1. CMR Technical Campus,Department of Computer Science & Engineering (Data Science),Hyderabad,Telangana,India

2. Sridevi Women's Engineering College,Department of Computer Science & Engineering,Hyderabad,Telangana,India

3. Maulana Azad Nation Urdu University,P.G.T-Computer Science,Hyderabad,Telangana,India

4. Vasavi College of Engineering,Department of Information Technology,Hyderabad,Telangana,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10424970/10424704/10425301.pdf?arnumber=10425301

Reference26 articles.

1. Medical Hyperspectral Image Classification Based on End-to-End Fusion Deep Neural Network

2. Study of crop growth parameters using Airborne Imaging Spectrometer data

3. Detection of Subtle Bruises on Winter Jujube Using Hyperspectral Imaging With Pixel-Wise Deep Learning Method

4. Hyperspectral image processing and analysis;Krishna;Current Science,2015

5. Multi-Scale Superpixel-Guided Structural Profiles for Hyperspectral Image Classification

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