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...
محفوظ في:
المؤلفون الرئيسيون: | Thai Duy Quy, Tran, Thi Ngoc Thao, Avirmed, Enkhbat |
---|---|
التنسيق: | Journal article |
اللغة: | English |
منشور في: |
2025
|
الموضوعات: | |
الوصول للمادة أونلاين: | https://scholar.dlu.edu.vn/handle/123456789/5801 https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/1381 |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
---|
مواد مشابهة
-
A Comparative Analysis of Models Based on Convolutional Neural Network for WiFi Fingerprinting
بواسطة: Phan, Thị Thanh Nga, وآخرون
منشور في: (2025) -
A NOVEL DATASET FOR VIETNAMESE NEW YEAR FOOD CLASSIFICATION
بواسطة: Vo, Duy Nguyen, وآخرون
منشور في: (2024) -
Using Hybrid Models for Action Correction in Instrument Learning Based on AI
بواسطة: AVIRMED ENKHBAT, وآخرون
منشور في: (2024) -
Recurrent neural networks for prediction : learning algorithms, architectures, and stability /
بواسطة: Mandic, Danilo P.
منشور في: (2001) -
MATLAB deep learning : with machine learning, neural networks and artificial intelligence
بواسطة: Kim, Phil
منشور في: (2017)