Machine Learning Based Retrieval Algorithms: Application to Ocean Optics-Reference-Cited by-同舟云学术

Machine Learning Based Retrieval Algorithms: Application to Ocean Optics

Published:2021 Issue: Volume: Page:31-68
ISSN:2509-2790
Container-title:Springer Series in Light Scattering
language:
Short-container-title:

Author:

Mukherjee Lipi

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-87683-8_2

Reference93 articles.

1. Brajard J, Jamet C, Moulin C, Thiria S (2006) Use of a neuro-variational inversion for retrieving oceanic and atmospheric constituents from satellite ocean colour sensor: application to absorbing aerosols. Neural Netw Off J Int Neural Netw Soc 19(2):178–185. https://doi.org/10.1016/j.neunet.2006.01.015

2. Branch MA, Coleman TF, Li Y (1995) A subspace, interior, and conjugate gradient method for large-scale bound-constrained minimization problems. Cornell University, Technical report

3. Bricaud A, Babin M, Morel A, Claustre H (1995) Variability in the chlorophyll-specific absorption coefficients of natural phytoplankton: analysis and parameterization. J Geophys Res Oceans 100(C7):13321–13332

4. Bricaud A, Morel A, Babin M, Allali K, Claustre H (1998) Variations of light absorption by suspended particles with chlorophyll a concentration in oceanic (case 1) waters: analysis and implications for bio-optical models. J Geophys Res Oceans 103(C13):31033–31044

5. Cairns B, Russell EE, Travis LD (1999) Research scanning polarimeter: calibration and ground-based measurements. In: Polarization: measurement, analysis, and remote sensing II, vol 3754. International society for optics and photonics, pp 186–196

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spatiotemporal distribution of labeled data can bias the validation and selection of supervised learning algorithms: A marine remote sensing example;ISPRS Journal of Photogrammetry and Remote Sensing;2022-05