Multispectral camera design and algorithms for python snake detection in the Florida Everglades

Gonzalo Vaca-Castano; Ronald Driggers; Orges Furxhi; Carl Arvidson; Frank Mazzotti

doi:10.1117/12.2519109

14 May 2019 Multispectral camera design and algorithms for python snake detection in the Florida Everglades

Gonzalo Vaca-Castano, Ronald Driggers, Orges Furxhi, Carl Arvidson, Frank Mazzotti

Proceedings Volume 10986, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV; 109860Y (2019) https://doi.org/10.1117/12.2519109
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

The Burmese Python has invaded the Florida Everglades where the estimate of pythons is around 150,000 and rapidly growing. Pythons were released as unwanted pets in South Florida and now they are an apex invasive species. As a result, the local fauna population has been largely decimated, and there is an increasing concern about python migration to northern latitudes. Working with a team interested in developing a python detection camera, we have taken hyperspectral and multispectral reflectivity measurements of Brumese Pythons in the visible and near infrared bands (VisNIR). The results show that some VisNIR reflectivity bands can be used to automatically discriminate pythons in the wild. This paper discusses the results of our data collections and provides a camera design process that includes a band selection algorithm and pixel-level classification using machine learning. Additionally, we show a visual enhancement alternative that helps to identify pythons in realistic conditions.

Conference Presentation

Citation Download Citation

Gonzalo Vaca-Castano, Ronald Driggers, Orges Furxhi, Carl Arvidson, and Frank Mazzotti "Multispectral camera design and algorithms for python snake detection in the Florida Everglades", Proc. SPIE 10986, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV, 109860Y (14 May 2019); https://doi.org/10.1117/12.2519109

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available