Comparing Three Methods of Selecting Training Samples in Supervised Classification of Multispectral Remote Sensing Images

Selecting training samples is crucial in remote sensing image classification. In this paper, we selected three images—Sentinel-2, GF-1, and Landsat 8—and employed three methods for selecting training samples: grouping selection, entropy-based selection, and direct selection. We then used the selecte...

詳細記述

書誌詳細
主要な著者: Hongying Zhang, Jinxin He, Shengbo Chen, Ye Zhan, Yanyan Bai, Yujia Qin
フォーマット: 論文
言語:English
出版事項: MDPI AG 2023-10-01
シリーズ:Sensors
主題:
オンライン・アクセス:https://www.mdpi.com/1424-8220/23/20/8530