Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Meilun Zhou"'
Autor:
Jared A. Elmore, Michael F. Curran, Kristine O. Evans, Sathishkumar Samiappan, Meilun Zhou, Morgan B. Pfeiffer, Bradley F. Blackwell, Raymond B. Iglay
Publikováno v:
Environmental Evidence, Vol 10, Iss 1, Pp 1-6 (2021)
Abstract Background Small unmanned aircraft systems (sUAS) are replacing or supplementing manned aircraft and ground-based surveys in many animal monitoring situations due to better coverage at finer spatial and temporal resolutions, access, cost, bi
Externí odkaz:
https://doaj.org/article/a92aca0ccff743c1a516218ff5a99c98
Publikováno v:
Journal of Imaging, Vol 8, Iss 5, p 126 (2022)
In this research, we study a new metaheuristic algorithm called Moth–Flame Optimization (MFO) for hyperspectral band selection. With the hundreds of highly correlated narrow spectral bands, the number of training samples required to train a statist
Externí odkaz:
https://doaj.org/article/7377017c50544e4c89c664391287dd4f
Autor:
Joby M. Prince Czarnecki, Sathishkumar Samiappan, Meilun Zhou, Cary Daniel McCraine, Louis L. Wasson
Publikováno v:
Remote Sensing, Vol 13, Iss 19, p 3859 (2021)
The radiometric quality of remotely sensed imagery is crucial for precision agriculture applications because estimations of plant health rely on the underlying quality. Sky conditions, and specifically shadowing from clouds, are critical determinants
Externí odkaz:
https://doaj.org/article/16962b8a48964446bc85351aa52b5de2
Autor:
Meilun Zhou, Jared A. Elmore, Sathishkumar Samiappan, Kristine O. Evans, Morgan B. Pfeiffer, Bradley F. Blackwell, Raymond B. Iglay
Publikováno v:
Sensors, Vol 21, Iss 17, p 5697 (2021)
In recent years, small unmanned aircraft systems (sUAS) have been used widely to monitor animals because of their customizability, ease of operating, ability to access difficult to navigate places, and potential to minimize disturbance to animals. Au
Externí odkaz:
https://doaj.org/article/775d1e3c7db3429e9196c34a97bee0e6
Autor:
Sathishkumar Samiappan, Jared A. Elmore, Bradley F. Blackwell, Meilun Zhou, Raymond B. Iglay, Kristine O. Evans, Michael F. Curran, Morgan B. Pfeiffer
Publikováno v:
Environmental Evidence, Vol 10, Iss 1, Pp 1-6 (2021)
Background Small unmanned aircraft systems (sUAS) are replacing or supplementing manned aircraft and ground-based surveys in many animal monitoring situations due to better coverage at finer spatial and temporal resolutions, access, cost, bias, impac
Publikováno v:
IGARSS
Leaf reflectance data acquired using spectrometers contain rich spectral information that enables the classification of plants into subtly different classes. The southern root-knot nematode (RKN) (Meloidogyne incognita), a soilborne roundworm, threat
Publikováno v:
IGARSS
Deep learning-based approaches for hyperspectral image (HSI) feature extraction and classification have gained popularity in recent years. Effective extraction of spectral and spatial information is desired for classifying HSI using a convolutional n
Publikováno v:
IGARSS
Metaheuristic optimization algorithms have been popular band selection methods in hyperspectral imaging (HSI) over the years due to their ability to find good solutions in reasonable time frames. Nature-inspired metaheuristics imitate processes in na
Autor:
Kristine O. Evans, Sathishkumar Samiappan, Jared A. Elmore, Bradley F. Blackwell, Morgan B. Pfeiffer, Meilun Zhou, Raymond B. Iglay
Publikováno v:
Sensors, Vol 21, Iss 5697, p 5697 (2021)
Sensors (Basel, Switzerland)
Sensors (Basel, Switzerland)
In recent years, small unmanned aircraft systems (sUAS) have been used widely to monitor animals because of their customizability, ease of operating, ability to access difficult to navigate places, and potential to minimize disturbance to animals. Au