Title :
Sentinel-1 multitemporal SAR products
Author :
Donato Amitrano;Francesca Cecinati;Gerardo Di Martino;Antonio Iodice;Daniele Riccio;Giuseppe Ruello
Author_Institution :
University of Napoli Federico II, Department of Electrical Engineering and Information Technology
fDate :
7/1/2015 12:00:00 AM
Abstract :
In this paper, we present a new framework for high-level processing of time series images, with particular reference to Sentinel-1 data. The proposed methodology has the goal of enhancing the interpretation of SAR imagery through the production of physical-based RGB composites, which are particularly suited for being easily interpreted by the human photo-interpreter, lowering the expertise level required for managing SAR data.
Keywords :
"Remote sensing","Image color analysis","Self-organizing feature maps","Coherence","Time series analysis","Indexes","Cities and towns"
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
Electronic_ISBN :
2153-7003
DOI :
10.1109/IGARSS.2015.7326695
