Evolving multispectral sensor configurations using genetic programming for estuary health monitoring-Reference-Cited by-同舟云学术

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Evolving multispectral sensor configurations using genetic programming for estuary health monitoring

Published:2024-08-21 Issue: Volume: Page:1-31
ISSN:0303-6758
Container-title:Journal of the Royal Society of New Zealand
language:en
Short-container-title:Journal of the Royal Society of New Zealand

Author:

Rogers Mitchell¹^ORCID,Azhar Mihailo¹²^ORCID,Schenone Stefano²^ORCID,Thrush Simon²^ORCID,Xue Bing³^ORCID,Zhang Mengjie³^ORCID,Delmas Patrice¹^ORCID

Affiliation:

1. School of Computer Science, The University of Auckland, Auckland, New Zealand

2. Institute of Marine Science, The University of Auckland, Auckland, New Zealand

3. School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/03036758.2024.2393297

Reference63 articles.

1. Hyperspectral remote sensing for extraction of soil salinization in the northern region of Ningxia

2. The successive projections algorithm for variable selection in spectroscopic multicomponent analysis

3. A framework for multiscale intertidal sandflat mapping: A case study in the Whangateau estuary

4. Banzhaf W, Nordin P, Keller RE, Francone FD. 1998. Genetic programming: an introduction: on the automatic evolution of computer programs and its applications. San Francisco, CA: Morgan Kaufmann Publishers Inc.

5. Standard Normal Variate Transformation and De-Trending of Near-Infrared Diffuse Reflectance Spectra

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