NDLI: Remote-sensing based adaptive path planning for an aquatic platform to monitor water quality

Content Provider	IEEE Xplore Digital Library
Author	Halal, F. Pedrocca, P. Hirose, T. Cretu, A.-M. Zaremba, M.B.
Copyright Year	2014
Description	Author affiliation: Noetix Res., Ottawa, ON, Canada (Hirose, T.) \|\| Dept. d'Inf. et d'Ing., Univ. du Quebec en Outaouais, Gatineau, QC, Canada (Halal, F.; Pedrocca, P.; Cretu, A.-M.; Zaremba, M.B.)
Abstract	This paper addresses issues inherent to the design of navigation planning and control systems required for adaptive monitoring of pollutants in inland waters. It proposes a new system for estimating water quality, in particular the chlorophyll-A concentration, by using satellite remote sensing data. The aim is to develop an intelligent model based on supervised learning, with the goal of improving the precision of the evaluation of chlorophyll-A concentration. To achieve this, we use an intelligent system based on statistical learning to classify the waters a priori, before estimating the chlorophyll-A concentration with neural network models. We therefore develop several models for the same surface of water, based on the spectral signature of the samples acquired in-situ. A control architecture is proposed to guide the trajectory of an aquatic platform to collect in-situ measurements It uses a multi-model classification/regression system to determine and forecast the spatial distribution of chlorophyll-A. At the same time, the proposed architecture features a cost optimizing path planner. Experimental results are presented to validate our approach using data collected on Lake Winnipeg in Canada.
Starting Page	43
Ending Page	48
File Size	2021591
Page Count	6
File Format	PDF
e-ISBN	9781479949267
DOI	10.1109/ROSE.2014.6952981
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-16
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Atmospheric measurements Particle measurements Monitoring Pollution measurement Remote sensing Image resolution Navigation neural networks water monitoring remote sensing satellite imagery path planning SVM classification
Content Type	Text
Resource Type	Article

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