利用遗传编程进化多光谱传感器配置，用于河口健康监测

IF 2.1 4区综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES

Journal of the Royal Society of New Zealand Pub Date : 2024-08-21 DOI:10.1080/03036758.2024.2393297

Mitchell Rogers, Mihailo Azhar, Stefano Schenone, Simon Thrush, Bing Xue, Mengjie Zhang, Patrice Delmas

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引用次数: 0

摘要

大规模评估生态系统健康状况对于各种管理和监管决策至关重要。高光谱成像等技术可以对生态系统的健康状况进行非侵入式的快速评估。

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Evolving multispectral sensor configurations using genetic programming for estuary health monitoring

Assessing ecosystem health on a large scale is crucial for a wide range of management and regulatory decisions. Technologies such as hyperspectral imaging allow noninvasive and rapid estimation of ...

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来源期刊

Journal of the Royal Society of New Zealand 综合性期刊-综合性期刊

CiteScore

4.60

自引率

0.00%

发文量

审稿时长

3 months

期刊介绍： Aims: The Journal of the Royal Society of New Zealand reflects the role of Royal Society Te Aparangi in fostering research and debate across natural sciences, social sciences, and the humanities in New Zealand/Aotearoa and the surrounding Pacific. Research published in Journal of the Royal Society of New Zealand advances scientific knowledge, informs government policy, public awareness and broader society, and is read by researchers worldwide.