Exploitation of Class Activation Map to Improve Land Cover and Land Use Classification Using Deep Learning

Exploitation of Class Activation Map to Improve Land Cover and Land Use Classification Using Deep Learning

This study investigates the potential of gradient-weighted class activation mapping (Grad-CAM++) in enhancing land cover and land use (LCLU) classification using deep learning models. A U-Net and an Attention U-Net model were trained on Sentinel-2 imagery to classify 10 LCLU classes in a study area...

Full description

Saved in:
Bibliographic Details
Main Authors: Taewoong Ham, Baoxin Hu
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Proceedings
Subjects:
land cover classification
remote sensing
deep learning
Grad-CAM++
Sentinel-2 imagery
U-Net
Online Access:https://www.mdpi.com/2504-3900/110/1/3
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2504-3900/110/1/3

Similar Items