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Hyperspectral Sensing meets Machine Learning and Pattern Analysis (HyperMLPA)

HyperMLPA is an interdisciplinary workshop which aims at bringing together people of different communities and disciplines involved in hyperspectral sensing, machine learning, and pattern analysis. People are invited to contribute in sensor development and calibration, to present and publish new datasets, to present innovative methodological advancements, and to share the latest results and findings of application-oriented work. This event is part of Geospatial Week 2019 sponsored by ISPRS, 10-14 June at the University of Twente.
When 14 June 2019
from 02:05 PM to 02:05 PM
Where Enschede NL
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Topics include, but are not limited to:

Sensor Design and Calibration
• Sensor and system calibration and validation
• Error modeling
• Data evaluation

Datasets
• New hyperspectral benchmark datasets
• Ground-based, airborne and spaceborne data acquisition
• Datasets acquired in controlled environments (e.g. in a laboratory) vs. datasets acquired “in the wild”

Methodology
• Feature extraction
• Feature selection / dimensionality reduction
• Spectral unmixing
• Data fusion
• Change detection
• Classification, segmentation and regression

Applications
• Land cover and land use classification
• Material classification
• Biodiversity assessment
• Estimation of geo- and bio-physical parameters
• Fusion of hyperspectral, geo- and bio-physical parameters
• Analysis of spatial and temporal patterns

More information about this event…