AutoCloud+, a “Universal” Physical and Statistical Model-Based 2D Spatial Topology-Preserving Software for Cloud/Cloud–Shadow Detection in Multi-Sensor Single-Date Earth Observation Multi-Spectral Imagery—Part 1: Systematic ESA EO Level 2 Product Generation at the Ground Segment as Broad Context

AutoCloud+, a “Universal” Physical and Statistical Model-Based 2D Spatial Topology-Preserving Software for Cloud/Cloud–Shadow Detection in Multi-Sensor Single-Date Earth Observation Multi-Spectral Imagery—Part 1: Systematic ESA EO Level 2 Product Generation at the Ground Segment as Broad Context

The European Space Agency (ESA) defines Earth observation (EO) Level 2 information product the stack of: (i) a single-date multi-spectral (MS) image, radiometrically corrected for atmospheric, adjacency and topographic effects, with (ii) its data-derived scene classification map (SCM), whose themati...

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Bibliographic Details
Main Authors: Andrea Baraldi, Dirk Tiede
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:ISPRS International Journal of Geo-Information
Subjects:
artificial intelligence
color naming
color constancy
cognitive science
computer vision
object-based image analysis (OBIA)
physical and statistical data models
radiometric calibration
semantic content-based image retrieval
spatial topological and spatial non-topological information components
Online Access:https://www.mdpi.com/2220-9964/7/12/457

Internet

https://www.mdpi.com/2220-9964/7/12/457

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