HYPERSPECTRAL IMAGE CLASSIFICATION ON A MULTISCALE 3D CONVOLUTIONAL NEURAL NETWORK
In the past decade, significant progress has been made in hyperspectral image (HSI) classification due to advances in deep learning techniques. This study introduces a novel computational framework for classifying HSIs using a multiscale 3D convolutional neural network (3DCNN). The purpose of this r...
Enregistré dans:
Auteurs principaux: | Thai Duy Quy, Tran, Thi Ngoc Thao, Avirmed, Enkhbat |
---|---|
Format: | Journal article |
Langue: | English |
Publié: |
2025
|
Sujets: | |
Accès en ligne: | https://scholar.dlu.edu.vn/handle/123456789/5801 https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/1381 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
---|
Documents similaires
-
A Comparative Analysis of Models Based on Convolutional Neural Network for WiFi Fingerprinting
par: Phan, Thị Thanh Nga, et autres
Publié: (2025) -
A NOVEL DATASET FOR VIETNAMESE NEW YEAR FOOD CLASSIFICATION
par: Vo, Duy Nguyen, et autres
Publié: (2024) -
Using Hybrid Models for Action Correction in Instrument Learning Based on AI
par: AVIRMED ENKHBAT, et autres
Publié: (2024) -
Recurrent neural networks for prediction : learning algorithms, architectures, and stability /
par: Mandic, Danilo P.
Publié: (2001) -
MATLAB deep learning : with machine learning, neural networks and artificial intelligence
par: Kim, Phil
Publié: (2017)