Classification of pollen grain images based on an ensemble of classifiers
The recognition of pollen grains is a challenging task since they are three-dimensional
structures with complex morphological characteristics. Palynologists are responsible for …
structures with complex morphological characteristics. Palynologists are responsible for …
Network-based geoforensics: Connecting pollen and plants to place
Despite the potential for pollen to provide key geographic information, law enforcement
agencies have historically underutilized forensic palynology. Pollen samples are rarely …
agencies have historically underutilized forensic palynology. Pollen samples are rarely …
Using habitat suitability models for multiscale forensic geolocation analysis
Pollen is one of the most durable environmental materials that law enforcement agencies
recover as trace evidence from people and objects. Although links between objects and …
recover as trace evidence from people and objects. Although links between objects and …
Progress towards establishing collection standards for semi-automated pollen classification in forensic geo-historical location applications
KC Riley, JP Woodard, GM Hwang… - Review of Palaeobotany …, 2015 - Elsevier
The digitization of pollen grain images would permit the creation of a semi-automated
system that could aid the expert palynologists in pollen classification. It would reduce cost …
system that could aid the expert palynologists in pollen classification. It would reduce cost …
A framework for using ensemble species distribution models for geographic attribution in forensic palynology
As a next-generation DNA sequencing technique, metabarcoding aids in identifying biotic
trace materials such as pollen, fungal spores, and other environmental DNA samples. This …
trace materials such as pollen, fungal spores, and other environmental DNA samples. This …
A survey of homeland security biometrics and forensics research
V Nagaraju, L Fiondella - 2016 IEEE Symposium on …, 2016 - ieeexplore.ieee.org
Biometrics and forensics applications for Homeland Security include access control,
screening, tracking, and criminal investigation. This paper surveys biometrics and forensics …
screening, tracking, and criminal investigation. This paper surveys biometrics and forensics …
[PDF][PDF] The use of convolutional neural network LeNet for pollen grains classification
A Korobeynikov, Y Kamalova… - … ” Proceedings of the IV …, 2018 - researchgate.net
The convolutional neural network from the LenetMnistExample of the DeepLearning4j
framework is described and applied for pollen grains classification. The selected basic …
framework is described and applied for pollen grains classification. The selected basic …
[PDF][PDF] Collection Standards for Semi-Automated Pollen Classification in Forensic Geo-Historical Location Applications Kimberly C. Riley, Jeffrey P. Woodard, Grace M …
SW Punyasena - 2014 - mitre.org
Collection Standards for Semi-Automated Pollen Classification in Forensic Geo-Historical
Location Applications Page 1 Approved for Public Release; Distribution Unlimited. 14-0056 © …
Location Applications Page 1 Approved for Public Release; Distribution Unlimited. 14-0056 © …
[引用][C] A comparison study of deep convolutional neural networks for the classification of brazilian savannah pollen grains: Preliminary results
B Aristimunha, FSB Borges, AB Gonçalves… - Workshop de Visão …, 2019 - SBC