Zobrazeno 1 - 10
of 151
pro vyhledávání: '"Haiyang Chao"'
Autor:
Saket Gowravaram, Haiyang Chao, Zhenghao Lin, Sheena Parsons, Tiebiao Zhao, Ming Xin, Xiaolin Hu, Pengzhi Tian, Harold Patrick Flanagan, Guanghui Wang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 3519-3530 (2023)
This article focuses on the mapping and rate of spread (ROS) measurement of grass fires using near infrared (NIR) images acquired by a small fixed-wing unmanned aircraft system (UAS) operating at low altitudes. A new method is proposed for spatiotemp
Externí odkaz:
https://doaj.org/article/aabc03fcc81e4885ad9f3b26c8e10110
Autor:
Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Marcello Napolitano, Tanmay Mandal, Matthew Rhudy
Publikováno v:
International Journal of Aerospace Engineering, Vol 2016 (2016)
Autonomous formation flight is a key approach for reducing energy cost and managing traffic in future high density airspace. The use of Unmanned Aerial Vehicles (UAVs) has allowed low-budget and low-risk validation of autonomous formation flight conc
Externí odkaz:
https://doaj.org/article/d538436bacbb4ecd93851d8fb52d05da
Publikováno v:
Journal of Robotics, Vol 2015 (2015)
This paper offers a set of novel navigation techniques that rely on the use of inertial sensors and wide-field optical flow information. The aircraft ground velocity and attitude states are estimated with an Unscented Information Filter (UIF) and are
Externí odkaz:
https://doaj.org/article/6f869518a7b240f4a9342e999a475430
Publikováno v:
Journal of Simulation. :1-13
Autor:
Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, Pengzhi Tian
Publikováno v:
International Journal of Remote Sensing. 43:2357-2376
Publikováno v:
AIAA SCITECH 2023 Forum.
Publikováno v:
AIAA SCITECH 2023 Forum.
Autor:
Justin Matt, Haiyang Chao
Publikováno v:
AIAA SCITECH 2023 Forum.
Autor:
Jordan R. Bell, Tiebiao Zhao, Haiyang Chao, Pengzhi Tian, Lori Schultz, Andrew Molthan, Harold P. Flanagan, Saket Gowravaram
Publikováno v:
Photogrammetric Engineering & Remote Sensing. 87:735-746
This paper introduces a satellite-based cross-calibration (SCC) method for spectral reflectance estimation of unmanned aircraft system (UAS) multispectral imagery. The SCC method provides a low-cost and feasible solution to convert high-resolution UA
Publikováno v:
AIAA AVIATION 2022 Forum.