Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Riley D. Logan"'
Autor:
Riley D. Logan, Madison A. Torrey, Rafael Feijó-Lima, Benjamin P. Colman, H. Maurice Valett, Joseph A. Shaw
Publikováno v:
Remote Sensing, Vol 15, Iss 12, p 3148 (2023)
Harmful and nuisance algal blooms are becoming a greater concern to public health, riverine ecosystems, and recreational uses of inland waterways. Algal bloom proliferation has increased in the Upper Clark Fork River due to a combination of warming w
Externí odkaz:
https://doaj.org/article/fb0de58f4a3e4f84a6ebba8ebcaf1359
Publikováno v:
Remote Sensing, Vol 13, Iss 18, p 3649 (2021)
Hyperspectral imaging systems are becoming widely used due to their increasing accessibility and their ability to provide detailed spectral responses based on hundreds of spectral bands. However, the resulting hyperspectral images (HSIs) come at the
Externí odkaz:
https://doaj.org/article/d4add67cb2694d3098c757e96de37047
Autor:
Shaw, Riley D. Logan, Madison A. Torrey, Rafael Feijó-Lima, Benjamin P. Colman, H. Maurice Valett, Joseph A.
Publikováno v:
Remote Sensing; Volume 15; Issue 12; Pages: 3148
Harmful and nuisance algal blooms are becoming a greater concern to public health, riverine ecosystems, and recreational uses of inland waterways. Algal bloom proliferation has increased in the Upper Clark Fork River due to a combination of warming w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::755d0d063f03778257c8fa008c471cca
Autor:
Riley D. Logan, Shannon M. Hamp, Madison A. Torrey, Rafa Feijó de Lima, Benjamin P. Colman, H. M. Valett, Joseph A. Shaw
Publikováno v:
SPIE Future Sensing Technologies 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fceb173525bebd55a79244d003e2a20
https://doi.org/10.1117/12.2645371
https://doi.org/10.1117/12.2645371
Autor:
Hannah Madsen, Trevor C. Vannoy, Elizabeth M. Rehbein, Riley D. Logan, Joseph A. Shaw, Bradley M. Whitaker
Publikováno v:
Laser Radar Technology and Applications XXVII.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::112210feaf5fff214889ece3791c7de4
https://doi.org/10.1117/12.2618660
https://doi.org/10.1117/12.2618660
Publikováno v:
Real-Time Image Processing and Deep Learning 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99784226cf62af26fb3b454cae985c77
https://doi.org/10.1117/12.2618970
https://doi.org/10.1117/12.2618970
Autor:
Riley D. Logan, Joseph A. Shaw, Bradley M. Whitaker, Elizabeth M. Rehbein, Trevor Vannoy, Trey P. Scofield
Publikováno v:
MLSP
In recent years, lidar-based remote sensing has gained popularity in entomological studies due to its ability to non-invasively sense insects in their natural habitat. However, previous studies that combined entomological lidar and machine learning f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1ae44b21372639ac4fa7e266796da1b
https://doi.org/10.1109/mlsp52302.2021.9596143
https://doi.org/10.1109/mlsp52302.2021.9596143
Publikováno v:
Polarization Science and Remote Sensing X.
Optical remote sensing systems are often used to gather imagery of scenes containing partially polarized light. Partially polarized reflection or emission will affect the detected response if the sensor system has intentional or unintentional polariz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00e8554e3f250f3391e5cff0714bfe55
https://doi.org/10.1117/12.2595588
https://doi.org/10.1117/12.2595588
Autor:
Joseph N. Aist, Joseph A. Shaw, Elizabeth M. Rehbein, Trevor Vannoy, Riley D. Logan, Bradley M. Whitaker, Kyle R. Rust
Publikováno v:
2021 IEEE Research and Applications of Photonics in Defense Conference (RAPID).
Lidar instruments have recently been developed for detecting insects during flight. However, insect detection algorithms are needed for automating the tedious, manual detection process. We report the use of a Subspace Discriminant classifier to detec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9b5c3aa09c85d9e1a98dc31dc5faec8
https://doi.org/10.1109/rapid51799.2021.9521465
https://doi.org/10.1109/rapid51799.2021.9521465
Autor:
John W. Sheppard, Amy Peerlinck, Neil S. Walton, Bryan Scherrer, Jacob Senecal, Joseph A. Shaw, Riley D. Logan
Publikováno v:
Journal of Applied Remote Sensing. 15
A method of monitoring produce freshness with hyperspectral imaging and machine learning is described as a way to reduce food waste in grocery stores. The method relies on hyperspectral reflectance images in the visible–near-infrared spectral range
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8948129b8b95643677cdccdfe994efa4
https://doi.org/10.1117/1.jrs.15.034505
https://doi.org/10.1117/1.jrs.15.034505