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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SANE 2018-05-14
11:50
Tokyo Kikai-Shinko-Kaikan Bldg. SAVERS: SAR ATR with Verification Support Based on Convolutional Neural Network
Hidetoshi Furukawa SANE2018-5
We propose a new convolutional neural network (CNN) which performs coarse and fine segmentation for end-to-end synthetic... [more] SANE2018-5
pp.23-28
SANE 2018-01-25
14:50
Nagasaki Nagasaki Prefectural Art Museum Deep Learning for End-to-End Automatic Target Recognition from Synthetic Aperture Radar Imagery
Hidetoshi Furukawa (Toshiba Infrastructure Systems & Solutions) SANE2017-92
The standard architecture of synthetic aperture radar (SAR) automatic target recognition (ATR) consists of three stages:... [more] SANE2017-92
pp.35-40
SANE 2017-08-24
13:50
Osaka OIT UMEDA Campus Deep Learning for Target Classification from SAR Imagery -- Data Augmentation and Translation Invariance --
Hidetoshi Furukawa (Toshiba Infrastructure Systems & Solutions) SANE2017-30
This report deals with translation invariance of convolutional neural networks (CNNs) for automatic target recognition (... [more] SANE2017-30
pp.13-17
SANE 2017-05-22
13:15
Tokyo Kikai-Shinko-Kaikan Bldg. Bias Estimation for Decentralized Sensor Fusion -- Multi-Agent Based Bias Estimation Method --
Hidetoshi Furukawa (Toshiba) SANE2017-7
In multi-sensor data fusion (or sensor fusion), sensor biases (or offsets) often affect the accuracy of the correlation ... [more] SANE2017-7
pp.35-40
SANE 2016-10-20
15:20
Osaka OIT UMEKITA Knowledge Center Bias Estimation for Distributed Sensor Data Fusion -- Bias Estimation Method Based on Multi-Agent Model --
Hidetoshi Furukawa (Toshiba) SANE2016-41
In multi-sensor data fusion, sensor biases (or offsets) often affect the accuracy of the correlation and integration res... [more] SANE2016-41
pp.13-16
SANE 2015-10-30
14:30
Osaka OIT UMEKITA Knowledge Center Sequential Test Using the Amplitude Information of Detected Signals for Track Confirmation
Hidetoshi Furukawa (Toshiba) SANE2015-45
In the sequential test for track confirmation based on the observed values of the time series from the sensor, a tentati... [more] SANE2015-45
pp.19-24
 Results 1 - 6 of 6  /   
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