Picture for Derek T. Anderson

Derek T. Anderson

Broad Area Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections from Deep Neural Networks

Add code
Mar 23, 2020
Figure 1 for Broad Area Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections from Deep Neural Networks
Figure 2 for Broad Area Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections from Deep Neural Networks
Figure 3 for Broad Area Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections from Deep Neural Networks
Figure 4 for Broad Area Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections from Deep Neural Networks
Viaarxiv icon

Introducing Fuzzy Layers for Deep Learning

Add code
Feb 21, 2020
Figure 1 for Introducing Fuzzy Layers for Deep Learning
Figure 2 for Introducing Fuzzy Layers for Deep Learning
Figure 3 for Introducing Fuzzy Layers for Deep Learning
Figure 4 for Introducing Fuzzy Layers for Deep Learning
Viaarxiv icon

Deep Morphological Hit-or-Miss Transform Neural Network

Add code
Dec 04, 2019
Figure 1 for Deep Morphological Hit-or-Miss Transform Neural Network
Figure 2 for Deep Morphological Hit-or-Miss Transform Neural Network
Figure 3 for Deep Morphological Hit-or-Miss Transform Neural Network
Figure 4 for Deep Morphological Hit-or-Miss Transform Neural Network
Viaarxiv icon

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features

Add code
Aug 02, 2019
Figure 1 for Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features
Figure 2 for Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features
Figure 3 for Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features
Figure 4 for Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features
Viaarxiv icon

Fusion of heterogeneous bands and kernels in hyperspectral image processing

Add code
May 22, 2019
Viaarxiv icon

Enabling Explainable Fusion in Deep Learning with Fuzzy Integral Neural Networks

Add code
May 10, 2019
Figure 1 for Enabling Explainable Fusion in Deep Learning with Fuzzy Integral Neural Networks
Figure 2 for Enabling Explainable Fusion in Deep Learning with Fuzzy Integral Neural Networks
Figure 3 for Enabling Explainable Fusion in Deep Learning with Fuzzy Integral Neural Networks
Figure 4 for Enabling Explainable Fusion in Deep Learning with Fuzzy Integral Neural Networks
Viaarxiv icon

State-of-the-art and gaps for deep learning on limited training data in remote sensing

Add code
Jul 11, 2018
Viaarxiv icon

Fusion of an Ensemble of Augmented Image Detectors for Robust Object Detection

Add code
Mar 17, 2018
Figure 1 for Fusion of an Ensemble of Augmented Image Detectors for Robust Object Detection
Figure 2 for Fusion of an Ensemble of Augmented Image Detectors for Robust Object Detection
Figure 3 for Fusion of an Ensemble of Augmented Image Detectors for Robust Object Detection
Figure 4 for Fusion of an Ensemble of Augmented Image Detectors for Robust Object Detection
Viaarxiv icon

Measuring Conflict in a Multi-Source Environment as a Normal Measure

Add code
Mar 12, 2018
Figure 1 for Measuring Conflict in a Multi-Source Environment as a Normal Measure
Figure 2 for Measuring Conflict in a Multi-Source Environment as a Normal Measure
Figure 3 for Measuring Conflict in a Multi-Source Environment as a Normal Measure
Figure 4 for Measuring Conflict in a Multi-Source Environment as a Normal Measure
Viaarxiv icon

Multi-Sensor Conflict Measurement and Information Fusion

Add code
Mar 12, 2018
Viaarxiv icon