Class Imbalance in the Automatic Interpretation of Remote Sensing Images: A Review

Class imbalance is a very challenging problem in data science, affecting the development of several application fields. This problem also plagues the automatic interpretation of remote sensing images. Especially in tasks such as classification mapping, object detection, change detection, and scene c...

Full description

Saved in:
Bibliographic Details
Main Authors: Pengdi Chen, Yuanrui Ren, Baoan Zhang, Yuan Zhao
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10945429/
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items