Software requirements, architecture, design, and results of a modular, multispectral, scientific quality unmanned aerial system payload for civilian remote sensing-Reference-Cited by-同舟云学术

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Software requirements, architecture, design, and results of a modular, multispectral, scientific quality unmanned aerial system payload for civilian remote sensing

Published:2019-05-14 Issue: Volume: Page:
ISSN:
Container-title:Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV
language:
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Author:

Coopmans Calvin,Humble James,Givens Matthew

Publisher

SPIE

Reference18 articles.

1. “AggieAir Group at Utah State University,” (2019). http://aggieair.usu.edu/.

2. Affine structure from motion

3. Small Unmanned Aerial Systems (sUAS) for environmental remote sensing: challenges and opportunities revisited

4. Building Secure, Resilient Architectures for Cyber Mission Assurance;Goldman,2010

5. A payload verification and management framework for small UAV-based personal remote sensing systems;Coopmans,2012

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GreatBlue: a 55-Pound Vertical-Takeoff-and-Landing Fixed-Wing sUAS for Science; Systems, Communication, Simulation, Data Processing, Payloads, Package Delivery, and Mission Flight Performance;Journal of Intelligent & Robotic Systems;2024-07-09

2. Lessons learned towards the immediate delivery of massive aerial imagery to farmers and crop consultants;Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI;2021-04-12

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