Archaeology of Short Wave Infrared Drone Carrying Hyperspectral Imager

Short wave infrared unmanned aerial vehicle mounted hyperspectral imaging system for archaeological unmanned aerial vehicle hyperspectral imaging is a research grade airborne hyperspectral imaging system developed by NEO company for unmanned aerial vehicles. The optical structure of this system is designed based on the Z HySpex ODIN system, which is a combination of lightweight and scientific grade hyperspectral data currently available in the market.

Archaeology of Short Wave Infrared Drone Carrying Hyperspectral ImagerThe hyspex unmanned aerial vehicle spectrometer and camera system is a research grade airborne hyperspectral imaging system developed by NEO for small unmanned aerial vehicles. The optical structure of this system is designed based on the HySpexODIN system, which is currently the best combination of lightweight and scientific grade hyperspectral data in the market. The HySpexMjolnir series hyperspectral imaging system weighs less than 5.0kg, and its integrated design of IMU/GPS and data acquisition terminal makes it suitable for most unmanned aerial vehicle systems on the market. In addition, the sturdy design provides excellent environmental adaptability and mechanical stability, meeting users' more stringent environmental requirements. The randomly matched ground station software ensures the setting and control of all system parameters, and provides real-time information on the drone's position, draws the drone's flight path, and displays the coverage area of the image for instantaneous feedback on the spatial coverage area. In addition to drone applications, the system also supports various ground applications such as field and laboratory, making it a truly versatile hyperspectral product.

　　Archaeology of Short Wave Infrared Drone Carrying Hyperspectral Imager Technical parameters:

1. Spectral range: 400-2500nm

2. Number of spatial pixels: 1860

3. Spectral sampling bandwidth: 3.0/5.1nm

4. Number of spectral segments: 490

5. F-number: 1.8/1.9

6. Spatial/Spectral Distortion (Full Spectrum): ≤ £ 0.2 pixels

7. Bit resolution (digital bit): 12bit/16bit

8. Number of noise electrons: 2.37e ᯝ/80e ᯝ

9. Dynamic range: 4400/10000

10. Signal to Noise Ratio (SRN): 180/900

11. High frame rate (full resolution): 100fps/285fps

12. Data collection terminal: embedded integrated into the host system

13. Chip level IMU/GPS system: embedded integration into the host system

14. Power consumption of 50W

System Composition

The HySpex Mjolnir series unmanned aerial vehicle hyperspectral system is highly integrated and composed of a series of high-performance and highly stable hardware systems.

Its main configuration is as follows:

High precision hyperspectral imaging instrument

Embedded integrated high-precision IMU/GPS system

Embedded integrated high-performance data acquisition unit

Wireless data transmission module

Shock absorber installation base

Data collection and analysis processing software package

　　

　　Unmanned Aerial Vehicle Hyperspectral ImagerProduct Features:

A true 'research grade' hyperspectral imaging instrument

Highly integrated one-piece molding design

Ground and airborne dual-use

Miniaturization and lightweighting

Low stray light and polarization correlation

Low 'smiling face effect' and 'trapezoidal distortion effect'

High sensitivity and low noise

High collection speed and data rate

Real time responsiveness and dark compensation correction

Domestic application cases:

Unmanned aerial vehicle

Successful case of unmanned aerial vehicle airborne hyperspectral flight test at the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences

Project Name: Unmanned Aerial Vehicle Airborne Hyperspectral Flight Test

Project location: Huailai Experimental Station, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences

Project background: Modern remote sensing monitoring of agriculture is an important form of modern agricultural production developed on the basis of a series of high-tech achievements such as modern information technology, biotechnology, and engineering technology. It is an important way to achieve low consumption, high efficiency, high quality, and safety in agriculture. Currently, it has become a research focus of agricultural technology in the world, and remote sensing technology is one of the important tools for implementing monitoring agriculture. Domestic and foreign research results indicate that there are not many successful examples of traditional remote sensing technology (wideband) being used to monitor agricultural management. The main reason for this is that the spectral resolution of conventional remote sensing data is not high, with most remote sensing data having a spectral resolution of around 100nm, and the bands are discontinuous in the spectrum, not covering the entire visible to infrared spectral range. Therefore, it is difficult to distinguish between mixed crops with the same growth period, similar appearance, and similar quality. The Hyspex hyperspectral remote sensing band is superior to 3nm, which can subdivide the spectral band in a specific spectral domain to obtain detailed and continuous spectral information of multiple bands. These spectra can well describe the "red edge" characteristics of crops, distinguish different biochemical components, contents and their changes in crop leaves, and obtain real-time, fast and accurate farmland information. Therefore, hyperspectral remote sensing technology is currently an important direction for the development of precision agriculture. This article reviews the research progress of using hyperspectral remote sensing technology to monitor crop growth, crop biochemical parameters, quality and lodging at home and abroad, in order to provide reference for the rapid development of precision agriculture. In October 2016, Hyspex Carrying its own unmanned aerial vehicle (UAV) hyperspectral imaging system, the intelligent UAV remote sensing agricultural monitoring system is mounted on a multi rotor UAV platform. The spectrum is measured vertically downwards, and multiple UAV hyperspectral data of crops in Beijing area have been successfully obtained.

Special thanks to more than 30 teachers from more than 10 universities and scientific research institutions, including the Institute of Remote Sensing of the Chinese Academy of Sciences, the Institute of Optoelectronics of the Chinese Academy of Sciences, the China University of Mining and Technology, the Beijing Institute of Geology for Nuclear Industry, Peking University, the China Agricultural University, the Xinjiang Institute of Biological Sciences of the Chinese Academy of Sciences, and the China Meteorological Administration, for their support and guidance.

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