Deep Learning-Based Methods for Lithology Classification and Identification in Remote Sensing Images

This study presents a deep learning model that integrates Vision Transformers (ViT) with Fourier spectral filtering for remote sensing lithology classification. The model automates the process of identifying and classifying various rock types in remote sensing images, addressing a multi-class classi...

詳細記述

書誌詳細

出版年:	IEEE Access
主要な著者:	Zhijun Zhang, Ming Wang, Yueji Qi, Xiaoqin Su, Di Kong
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2025-01-01
主題:	Remote sensing image lithology classification deep learning technology SAR image speckle noise
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10697120/