A CNN-Based Fusion Method for Feature Extraction from Sentinel Data

A CNN-Based Fusion Method for Feature Extraction from Sentinel Data

Sensitivity to weather conditions, and specially to clouds, is a severe limiting factor to the use of optical remote sensing for Earth monitoring applications. A possible alternative is to benefit from weather-insensitive synthetic aperture radar (SAR) images. In many real-world applications, critic...

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Bibliographic Details
Main Authors: Giuseppe Scarpa, Massimiliano Gargiulo, Antonio Mazza, Raffaele Gaetano
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Remote Sensing
Subjects:
coregistration
pansharpening
multi-sensor fusion
multitemporal images
deep learning
normalized difference vegetation index (NDVI)
Online Access:http://www.mdpi.com/2072-4292/10/2/236

Internet

http://www.mdpi.com/2072-4292/10/2/236

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