GF-2 Remote Sensing-Based Winter Wheat Extraction With Multitask Learning Vision Transformer

GF-2 Remote Sensing-Based Winter Wheat Extraction With Multitask Learning Vision Transformer

Accurate mapping of winter wheat is essential for the advancement of precision agriculture and food security. However, classical semantic segmentation models frequently encounter difficulties in precise edge extraction, omission, and classification due to the presence of dense distributions and intr...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhihao Zhao, Zihan Liu, Heng Luo, Hui Yang, Biao Wang, Yixin Jiang, Yanqi Liu, Yanlan Wu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Land surface temperature (LST)
multitask learning
normalized difference vegetation index (NDVI)
vision transformer
winter wheat
Online Access:https://ieeexplore.ieee.org/document/10979367/
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items