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01/20/2022
PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study
Understanding a plant's root system architecture (RSA) is crucial for a ...
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12/12/2021
Image-to-Height Domain Translation for Synthetic Aperture Sonar
Observations of seabed texture with synthetic aperture sonar are depende...
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11/10/2021
Cross-Layered Distributed Data-driven Framework For Enhanced Smart Grid Cyber-Physical Security
Smart Grid (SG) research and development has drawn much attention from a...
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05/05/2021
Addressing Annotation Imprecision for Tree Crown Delineation Using the RandCrowns Index
Supervised methods for object delineation in remote sensing require labe...
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03/08/2021
The Weakly-Labeled Rand Index
Synthetic Aperture Sonar (SAS) surveys produce imagery with large region...
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12/31/2020
Divergence Regulated Encoder Network for Joint Dimensionality Reduction and Classification
In this paper, we investigate performing joint dimensionality reduction ...
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07/30/2020
Weakly Supervised Minirhizotron Image Segmentation with MIL-CAM
We present a multiple instance learning class activation map (MIL-CAM) a...
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07/02/2020
Outlier Detection through Null Space Analysis of Neural Networks
Many machine learning classification systems lack competency awareness. ...
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03/30/2020
Super Resolution for Root Imaging
High-resolution cameras have become very helpful for plant phenotyping b...
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01/01/2020
Histogram Layers for Texture Analysis
We present a histogram layer for artificial neural networks (ANNs). An e...
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10/20/2019
Peanut Maturity Classification using Hyperspectral Imagery
Seed maturity in peanut (Arachis hypogaea L.) determines economic return...
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09/07/2019
Multi-Target Multiple Instance Learning for Hyperspectral Target Detection
In remote sensing, it is often difficult to acquire or collect a large d...
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04/30/2019
Investigation of Initialization Strategies for the Multiple Instance Adaptive Cosine Estimator
Sensors which use electromagnetic induction (EMI) to excite a response i...
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04/01/2019
Comparison of Possibilistic Fuzzy Local Information C-Means and Possibilistic K-Nearest Neighbors for Synthetic Aperture Sonar Image Segmentation
Synthetic aperture sonar (SAS) imagery can generate high resolution imag...
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03/22/2019
Comparison of Hand-held WEMI Target Detection Algorithms
Wide-band Electromagnetic Induction Sensors (WEMI) have been used for a ...
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03/22/2019
Overcoming Small Minirhizotron Datasets Using Transfer Learning
Minirhizotron technology is widely used for studying the development of ...
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03/18/2019
Complex Scene Classification of PolSAR Imagery based on a Self-paced Learning Approach
Existing polarimetric synthetic aperture radar (PolSAR) image classifica...
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03/07/2019
Root Identification in Minirhizotron Imagery with Multiple Instance Learning
In this paper, multiple instance learning (MIL) algorithms to automatica...
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05/02/2018
Multi-Resolution Multi-Modal Sensor Fusion For Remote Sensing Data With Label Uncertainty
In remote sensing, each sensor can provide complementary or reinforcing ...
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03/11/2018
Multiple Instance Choquet Integral Classifier Fusion and Regression for Remote Sensing Applications
In classifier (or regression) fusion the aim is to combine the outputs o...
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10/31/2017
Multiple Instance Hybrid Estimator for Hyperspectral Target Characterization and Sub-pixel Target Detection
The Multiple Instance Hybrid Estimator for discriminative target charact...
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09/28/2017
Possibilistic Fuzzy Local Information C-Means for Sonar Image Segmentation
Side-look synthetic aperture sonar (SAS) can produce very high quality i...
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06/11/2017
Multiple Instance Dictionary Learning for Beat-to-Beat Heart Rate Monitoring from Ballistocardiograms
A multiple instance dictionary learning approach, Dictionary Learning us...
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03/17/2017
Hyperspectral Unmixing with Endmember Variability using Semi-supervised Partial Membership Latent Dirichlet Allocation
A semi-supervised Partial Membership Latent Dirichlet Allocation approac...
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01/09/2017
Multiple Instance Hybrid Estimator for Learning Target Signatures
Signature-based detectors for hyperspectral target detection rely on kno...
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01/06/2017
Map-guided Hyperspectral Image Superpixel Segmentation Using Proportion Maps
A map-guided superpixel segmentation method for hyperspectral imagery is...
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12/28/2016
Partial Membership Latent Dirichlet Allocation
Topic models (e.g., pLSA, LDA, sLDA) have been widely used for segmentin...
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09/12/2016
Hyperspectral Unmixing with Endmember Variability using Partial Membership Latent Dirichlet Allocation
The application of Partial Membership Latent Dirichlet Allocation(PM-LDA...
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06/20/2016
Multiple Instance Hyperspectral Target Characterization
In this paper, two methods for multiple instance target characterization...
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03/21/2016
Instance Influence Estimation for Hyperspectral Target Signature Characterization using Extended Functions of Multiple Instances
The Extended Functions of Multiple Instances (eFUMI) algorithm is a gene...
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03/19/2016
Adaptive coherence estimator (ACE) for explosive hazard detection using wideband electromagnetic induction (WEMI)
The adaptive coherence estimator (ACE) estimates the squared cosine of t...
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03/19/2016
Buried object detection using handheld WEMI with task-driven extended functions of multiple instances
Many effective supervised discriminative dictionary learning methods hav...
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11/09/2015