Memorias de investigación
Ponencias en congresos:
Multisensor fusion for the accurate classification of vegetation in complex ecosystems
Año:2019
Áreas de investigación
  • Ingenierías
Datos
Descripción
The use of geospatial tools to monitor natural ecosystems is a fundamental task to preserve the environment. In this context, remote sensing data can provide a valuable source of information to complement field observations, offering frequent and accurate imagery to support the mapping and monitoring of natural areas. The growing availability of hyperspectral (HS) data can provide a valuable solution but the spectral richness provided by hyperspectral sensors is usually at the expense of spatial resolution. To alleviate this inconvenience, instead of satellite platforms, airborne sensors can be considered. In this work, the accurate mapping of a complex shrubland ecosystem has been accomplished using multisensor imagery. Specifically, airborne CASI data (68 bands and 75 cm of pixel size) has been fused with an orthophoto (25 cm) to increase the spatial detail. A comprehensive analysis of 11 sharpening algorithms has been performed and, to improve the Support Vector Machine (SVM) classification accuracy, different input features have been considered. Excellent results have been achieved and the importance to improve the spatial resolution has been demonstrated. © 2019 IEEE
Internacional
Si
Nombre congreso
2019 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2019
Tipo de participación
960
Lugar del congreso
Budapest; Hungary
Revisores
Si
ISBN o ISSN
9781728109671
DOI
10.1109/IWOBI47054.2019.9114397
Fecha inicio congreso
03/07/2019
Fecha fin congreso
05/07/2019
Desde la página
81
Hasta la página
86
Título de las actas
IWOBI 2019 - IEEE International Work Conference on Bioinspired Intelligence, Proceedings
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos