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基于直方图匹配的Sentinel-2卫星作物分类语义分割模型

IF 6 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL
GIScience & Remote Sensing Pub Date : 2023-11-16 DOI:10.1080/15481603.2023.2281142
Lijun Wang, Yang Bai, Jiayao Wang, Zheng Zhou, Fen Qin, Jiyuan Hu
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引用次数: 0

摘要

从卫星图像中精确和接近实时地绘制作物地图对农业监测至关重要。然而，作物的季节性使得依靠传统的机器收割具有挑战性。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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Histogram matching-based semantic segmentation model for crop classification with Sentinel-2 satellite imagery
Accurate and near-real-time crop mapping from satellite imagery is crucial for agricultural monitoring. However, the seasonal nature of crops makes it challenging to rely on traditional machine lea...
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来源期刊
GIScience & Remote Sensing
GIScience & Remote Sensing 地学-遥感
CiteScore
11.20
自引率
9.00%
发文量
84
审稿时长
6 months
期刊介绍： GIScience & Remote Sensing publishes original, peer-reviewed articles associated with geographic information systems (GIS), remote sensing of the environment (including digital image processing), geocomputation, spatial data mining, and geographic environmental modelling. Papers reflecting both basic and applied research are published.
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