16 citations · 30 across the 4 of their papers we have counts for
4 papers
SAVERS: SAR ATR with Verification Support Based on Convolutional Neural Network
Hidetoshi Furukawa
We propose a new convolutional neural network (CNN) which performs coarse and fine segmentation for end-to-end synthetic aperture radar (SAR) automatic target recognition (ATR) sys…
Deep Learning for End-to-End Automatic Target Recognition from Synthetic Aperture Radar Imagery
Hidetoshi Furukawa
The standard architecture of synthetic aperture radar (SAR) automatic target recognition (ATR) consists of three stages: detection, discrimination, and classification. In recent ye…
Deep Learning for Target Classification from SAR Imagery: Data Augmentation and Translation Invariance
Hidetoshi Furukawa
This report deals with translation invariance of convolutional neural networks (CNNs) for automatic target recognition (ATR) from synthetic aperture radar (SAR) imagery. In particu…
Bias Estimation for Decentralized Sensor Fusion -- Multi-Agent Based Bias Estimation Method
Hidetoshi Furukawa
In multi-sensor data fusion (or sensor fusion), sensor biases (or offsets) often affect the accuracy of the correlation and integration results of the tracking targets. Therefore,…