Armando Marino

Weakly-supervised land classification for coastal zone based on deep convolutional neural networks by incorporating dual-polarimetric characteristics into training dataset pdf

Zhongwen Hu, Sheng Sun, Armando Marino, 2020, ArXiv.

What do we Need to Know to Better Exploit Satellite Borne SAR Data for Ship Detection

Nick Walker, Armando Marino, 2013 .

Ship Detection Using SAR Polarimetry. The Development Of A New Algorithm Designed To Exploit New Satellite SAR Capabilities For Maritime Surveillance

Nick Walker, Iain Woodhouse, Armando Marino, 2010 .

Optimal Polarimetric Detection Filter and Its Statistical Tests for a Ship Detector

Tao Liu, Gui Gao, Jian Yang, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

The InflateSAR Campaign: Evaluating SAR Identification Capabilities of Distressed Refugee Boats

Thomas Brinkhoff, Matthias Möller, Frank Köster, 2020, Remote. Sens..

Quad-Polarimetric Multi-Scale Analysis of Icebergs in ALOS-2 SAR Data: A Comparison between Icebergs in West and East Greenland

Armando Marino, Johnson Bailey, A. Marino, 2020, Remote. Sens..

PolSAR-AP: Exploitation of Fully Polarimetric Data for Application Demonstration - Final Results

Irena Hajnsek, Eric Pottier, Shane R. Cloude, 2015 .

Monitoring Agricultural Fields Using Sentinel-1 and Temperature Data in Peru: Case Study of Asparagus (Asparagus officinalis L.)

Iain Cameron, Armando Marino, Cristian Silva-Perez, 2020, Remote. Sens..

Continuous Forest Monitoring Using Cumulative Sums of Sentinel-1 Timeseries

Armando Marino, Carl P. Boardman, Javier Ruiz-Ramos, 2020, Remote. Sens..