PIGLT: A Pollen Identification and Geolocation system for forensic applications

2015 IEEE International Symposium on Technologies for Homeland Security, HST 2015

Volumn , Issue , 2015, Pages

  Goodman, F J ^a   Doughty, J W ^a   Gary, C ^a   Christou, C T ^a   Hu, B B ^a   Hultman, E A ^a   Deanto, D G ^a   Masters, D ^b  

^a MITRE CORPORATION   (United States)

^b Science and Technology   (United States)

Author keywords

Django; environmental variables; forensics geolocation; joint probability distributions; maximum entropy; Neotropics; plant occurrences; pollen identification; PostGRES database

Indexed keywords

DATABASE SYSTEMS; MAXIMUM ENTROPY METHODS; NATIONAL SECURITY; PLANTS (BOTANY); SECURITY SYSTEMS; TRACKING (POSITION); USER INTERFACES;

DJANGO; ENVIRONMENTAL VARIABLES; GEOLOCATIONS; JOINT PROBABILITY DISTRIBUTIONS; NEOTROPICS; PLANT OCCURRENCES;

PROBABILITY DISTRIBUTIONS;

EID: 84955501847     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/THS.2015.7225271     Document Type: Conference Paper

References (12)

1. G. M. Hwang, The MITRE Corporation and D. Masters, U. S. Department of Homeland Security, "Forensics geolocation challenge: Is pollen the answer, " Report of First Pollen Coalition Workshop, The MITRE Corporation, September 2012
2. M. B. Bush, and C. Weng, (2007), Introducing a new (freeware) tool for palynology. Journal of Biogeography, 34: 377-380. doi: 10. 1111/j. 1365-2699. 2006. 01645. x
3. C. T. Christou, G. M. Jacyna, F. J. Goodman, D. G. Deanto, and D. Masters, "Geolocation Analysis Using Maxent and Plant Sample Data", The 2015 IEEE Symposium on Technologies for Homeland Security (HST '15), April 2015
4. W. Punt, P. P. Hoen, S. Blackmore, S. Nilsson, A. Le Thomas, "Glossary of pollen and spore terminology". Review of Palaeobotany and Palynology. 2007; 143:1-81
5. http://www.gbif.org/
6. S. J. Phillips, M. Dudik, and R. E. Shapire, A maximum entropy approach to species distribution modeling, ICML '04, Proceedings of the twenty-first international conference on Machine Learning, Page 83
7. http://worldclim.org/bioclim
8. https://www.djangoproject.com/
9. http://geoserver.org/
10. http://www.gdal.org/
11. Ziv, Jacob; Lempel, Abraham (May 1977). "A Universal Algorithm for Sequential Data Compression". IEEE Transactions on Information Theory 23 (3): 337-343
12. Schneider CA, Rasband WS, Eliceiri KW (2012). "NIH Image to ImageJ: 25 years of image analysis". Nat Methods 9 (7): 671-675