一种基于特征滤波的基于光谱数据的土壤有机碳含量估算转移网络

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-11-27 DOI:10.1080/2150704x.2023.2282401

Wudi Zhao, Zhilu Wu, Zhendong Yin, Dasen Li

引用次数: 0

摘要

目前，深度学习方法依靠其强大的特征提取能力，已成功应用于大规模超尺度土壤有机碳(SOC)含量估算。

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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A feature filtering-based transfer network for few-shot soil organic carbon content estimation with spectral data

At present, the deep learning method relies on its strong feature extraction ability and has been successfully applied to the estimation of soil organic carbon (SOC) content with large-scale hypers...

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.