Zobrazeno 1 - 10
of 26
pro vyhledávání: '"P J, Starek"'
Publikováno v:
Agrosystems, Geosciences & Environment, Vol 7, Iss 3, Pp n/a-n/a (2024)
Abstract This study uses a small unmanned aircraft system equipped with a multispectral sensor to assess various vegetation indices (VIs) for their potential to monitor iron deficiency chlorosis (IDC) in a grain sorghum (Sorghum bicolor L.) crop. IDC
Externí odkaz:
https://doaj.org/article/9b24458ae0224687ad1e12969deacfb9
Autor:
José A. Pilartes-Congo, Chase Simpson, Michael J. Starek, Jacob Berryhill, Christopher E. Parrish, Richard K. Slocum
Publikováno v:
Drones, Vol 8, Iss 11, p 646 (2024)
Uncrewed aircraft systems (UASs) and structure-from-motion/multi-view stereo (SfM/MVS) photogrammetry are efficient methods for mapping terrain at local geographic scales. Traditionally, indirect georeferencing using ground control points (GCPs) is u
Externí odkaz:
https://doaj.org/article/cb115d65665c47fbb395d79e5e7b1e6a
Publikováno v:
Aerospace, Vol 11, Iss 3, p 237 (2024)
UAV swarms have multiple real-world applications but operate in a dynamic environment where disruptions can impede performance or stop mission progress. Ideally, a UAV swarm should be resilient to disruptions to maintain the desired performance and p
Externí odkaz:
https://doaj.org/article/71ff4244bcec4796b2efe4f828decc93
Autor:
Xiaoqing Shen, Megan K. Clayton, Michael J. Starek, Anjin Chang, Russell W. Jessup, Jamie L. Foster
Publikováno v:
Remote Sensing, Vol 15, Iss 13, p 3211 (2023)
Cultivation and grazing since the mid-nineteenth century in Texas has caused dramatic changes in grassland vegetation. Among these changes is the encroachment of native and introduced brush species. The distribution and quantity of brush can affect l
Externí odkaz:
https://doaj.org/article/ba3236493ef64f12805bbdcf369812f6
Autor:
Marina Vicens-Miquel, F. Antonio Medrano, Philippe E. Tissot, Hamid Kamangir, Michael J. Starek, Katie Colburn
Publikováno v:
Remote Sensing, Vol 14, Iss 23, p 5990 (2022)
Automatically detecting the wet/dry shoreline from remote sensing imagery has many benefits for beach management in coastal areas by enabling managers to take measures to protect wildlife during high water events. This paper proposes the use of a mod
Externí odkaz:
https://doaj.org/article/2793185ffe5a4ae2abd076f7918dbab9
Publikováno v:
Drones, Vol 5, Iss 3, p 67 (2021)
Small unmanned aircraft systems (sUASs) have emerged as promising platforms for the purpose of crash scene reconstruction through structure-from-motion (SfM) photogrammetry. However, auto crashes tend to occur under adverse weather conditions that us
Externí odkaz:
https://doaj.org/article/cb812f1a41684489aca4319eef658efc
Publikováno v:
Drones, Vol 5, Iss 2, p 50 (2021)
Traditional acquisition methods for generating digital surface models (DSMs) of infrastructure are either low resolution and slow (total station-based methods) or expensive (LiDAR). By contrast, photogrammetric methods have recently received attentio
Externí odkaz:
https://doaj.org/article/0b1c0819ab01484f955b12bc9eee8b82
Publikováno v:
Remote Sensing, Vol 12, Iss 11, p 1757 (2020)
The deep convolutional neural network (DCNN) has recently been applied to the highly challenging and ill-posed problem of single image super-resolution (SISR), which aims to predict high-resolution (HR) images from their corresponding low-resolution
Externí odkaz:
https://doaj.org/article/fd1d6380bbb64b938f4c7a9d3101da0d
Publikováno v:
Remote Sensing, Vol 12, Iss 6, p 959 (2020)
Deep learning has already been proved as a powerful state-of-the-art technique for many image understanding tasks in computer vision and other applications including remote sensing (RS) image analysis. Unmanned aircraft systems (UASs) offer a viable
Externí odkaz:
https://doaj.org/article/ac621b5f94f54b1d8c5927d9d63583ce
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 3, p 163 (2020)
Flood modeling and analysis has been a vital research area to reduce damages caused by flooding and to make urban environments resilient against such occurrences. This work focuses on building a framework to simulate and visualize flooding in 3D usin
Externí odkaz:
https://doaj.org/article/c3791eff4e524336aa0638dacdd7c96c