Onderzoeksoutput

Welkom op het expertplatform!

Dit platform verschaft informatie en kennis omtrent de WL expertisedomeinen 'hydraulica en sediment', 'havens en waterwegen', 'waterbouwkundige constructies', 'waterbeheer' en 'kustbescherming' - gaande van WL medewerkers met hun expertise, het curriculum van deze instelling, tot publicaties, projecten, data (op termijn) en evenementen waarin het WL betrokken is.

Het WL onderschrijft het belang van "open access" voor de ontsluiting van haar onderzoeksresultaten. Lees er meer over in ons openaccessbeleid.

log in

• 
  People
• 
  Curriculum
• 
  Projects
• 
  Data sets
• 
  Publications
• 
  Events

[ meld een fout in dit record ]

mandje (0): toevoegen | toon

---

Monitoring inland waters with the APEX sensor, a wavelet approach Knaeps, E.; Raymaekers, D.; Sterckx, S.; Bertels, L.; Odermatt, D. (2010). Monitoring inland waters with the APEX sensor, a wavelet approach, in: Proceedings of the 2010 IEEE 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 14–16 June 2010, Reykjavik, Iceland. pp. 4 In: (2010). Proceedings of the 2010 IEEE 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 14–16 June 2010, Reykjavik, Iceland. [S.n.]: Reykjavik.

---

Beschikbaar in	Auteurs
VLIZ: Open access 241343 [ download pdf ]
Documenttype: Congresbijdrage

---

Author keywords

wavelets, water quality, curve fitting, APEX, Scheldt

---

Auteurs		Top
Knaeps, E. Raymaekers, D. Sterckx, S.	Bertels, L. Odermatt, D.

---

Abstract

In this study a new curve fitting approach is presented to derive TSM, CHL and CDOM concentrations in inland and coastal waters from water leaving-reflectance spectra. The approach is based on the wavelet transform and is tested on simulated water-leaving reflectance spectra. For simulations SIOPS and water concentrations, representative for the Scheldt river, were used. The results shown that the approach is less sensitive to errors in the atmospheric correction or specific sensor noise. The idea is based on the development of a new minimization criteria for curve fitting. Instead of minimizing the difference between modeled and measured spectra using a simple RMSE, the RMSE is now combined with specific wavelet features. Several types of errors and noise are added to the simulated spectra to find robust features. Two minimization criteria were found which are almost insensitive to a white error and less sensitive to adjacency effects.

---

Alle informatie in het Integrated Marine Information System (IMIS) valt onder het VLIZ Privacy beleid

Top | Auteurs

IMIS is ontwikkeld en wordt gehost door het VLIZ.