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Mapping Benthic Habitats by Extending Non-Negative Matrix Factorization to Address the Water Column and Seabed Adjacency Effects

Mireille Guillaume, Audrey Minghelli, Yannick Deville, Malik Chami, Louis Juste, Xavier Lenot, Bruno Lafrance, Sylvain Jay, Xavier Briottet, Veronique Serfaty
2020 Remote Sensing  
The interest of using an unmixing method to determine the seabed composition from hyperspectral aerial images of coastal areas is investigated.  ...  Two original non-negative matrix factorization ( N M F )-based unmixing algorithms, referred to as W A D J U M (Water ADJacency UnMixing) and W U M (Water UnMixing, no adjacency effects) are developed,  ...  Influence of the Consideration of the Adjacency Effects within a Seabed Unmixing Algorithm The objective of this sub-section is to test the relevance of introducing the adjacency effects within the seabed  ... 
doi:10.3390/rs12132072 fatcat:27nx6as5jzfibfgw6lj44z2oju

Proceedings of the 10th International Conference on Ecological Informatics: translating ecological data into knowledge and decisions in a rapidly changing world: ICEI 2018

International Conference On Ecological Informatics, Thüringer Universitäts- Und Landesbibliothek Jena, Jitendra Gaikwad
learning and process modelling, • decision-informing solutions for biodiversity conservation and sustainable ecosystem management in light of global changes.  ...  The Conference Proceedings are an impressive display of the current scope of Ecological Informatics.  ...  the non-clustering of haplotypes from SEA and Taiwan.  ... 
doi:10.22032/dbt.37846 fatcat:abpbnzmatncp7piugi3udxzcxu