Fixed wing airborne hyperspectral imaging system

GaiaSky-mini-VPOSFixed wing airborne hyperspectral imaging systemIt is a new generation of unmanned aerial vehicle hyperspectral imaging system, which can enable the SCMOS detector with high acquisition frame rate to output hyperspectral data with high signal-to-noise ratio, high spatial, hyperspectral resolution, and high precision under a high light flux and high transmission efficiency front-end optical path. Meet the external push scan shooting requirements of fixed wing flight modes, and multiple application modes can achieve remote sensing imaging of limited and large areas. High precision inertial navigation POS、 High definition cameras can also provide support for data stitching, calibration, and correction. The construction of auxiliary cameras can enable real-time transmission of the condition of the measured area on the ground through wireless image transmission. The real-time calibration of data and the real-time rapid output and feedback of inversion results to the ground are crucial for quickly determining target information; Assessment for precision agriculture; Environmental monitoring of water, oil spills, and land desertification; Military equipment identification; Provide complete solutions for the application needs of ecological diversity assessment and other aspects.

Main features:

Core point one: More than ten years of rich experience in the development and application of imaging spectroscopy systems. In recent years, significant progress has been made in the development and application of unmanned aerial vehicle based hyperspectral imaging systems, providing new solutions for scientific research, industry, and other fields.

Core point 2: Form a complete product chain from spectrometer design to system integration, development, and application.

The independently designed stabilizing gimbal: GaiaSky series unmanned aerial vehicle hyperspectral imaging system is suitable for various types of fixed wing unmanned aerial vehicles.

Control method: Various functions can be applied through the remote control, which is convenient, fast, and flexible.

Appearance design: The appearance design and operation provide a good platform and stability for the quality and multi-dimensional application of the system.

Real time monitoring: The monitoring module provides real-time information on the on-site environmental conditions, forming a "what you see and what you get" system.

Software function: Fast real-time calibration provides users with online output of inversion, classification and recognition results, enabling quick decision-making and judgment for industry applications.

Data stitching: High precision and large-area data stitching greatly improves the system's work efficiency and data quality.

Load: Other products can be selected according to actual application needs.

DJI M350, longitudinal and transverse CW-15 (hanging fixed wing), Huace BB4 (large quadcopter), Yaoyu (large rotor), Kewaitai (large rotor), Rainbow 4 fixed wing unmanned aerial vehicle.

●GaiaSky-mini-VPOSFixed wing airborne hyperspectral imaging systemTechnical Specifications:

● Introduction to data collection software:

Data preprocessing function: Multiple mathematical models can be selected, real-time data calibration can be performed, and inversion results can be synchronously output; Reflectance correction, region correction, radiometric correction, spectral and image data preview functions, etc.

Data processing function: Real time output of inversion results: Real time commonly used vegetation index calculation functions: Normalized Vegetation Index (NDVI), Ratio Vegetation Index (RVI), Enhanced Vegetation Index (EVI), Atmospheric Impedance Vegetation Index (ARVI), Improved Red Edge Ratio Vegetation Index (mSR 705), Vogelmann Red Edge Index (VOG), Photochemical Vegetation Index (PRI), Structure insensitive Pigment Index (SIPI), Normalized Nitrogen Index (NDNI), Carotenoid Reflectance Index 1 (CRI1), Carotenoid Reflectance Index 2 (CRI2), Anthocyanin Reflectance Index 1 (ARI1), Anthocyanin Reflectance Index 2 (ARI2), Waterband Index (WBI), Normalized Water Index (NDWI), Water Stress Index (MSI), Normalized Infrared Index (NDII), Normalized Lignin Index (NDLI), Cellulose Absorption Index (CAI), Vegetation Decay Index (PSRI), Soil Brightness Adjusted Vegetation Index (SAVI), etc.

Data stitching: The independently developed data stitching software can stitch and process hyperspectral data captured by fixed push scan imaging, achieving big data stitching processing during large-scale and long flight. The splicing accuracy will be better with the help of POS and other components.

Collection control interface

Waypoint coordinate calculator

The independently developed waypoint coordinate calculator automatically generates flight routes with one click based on the latitude and longitude coordinates of the four vertices in the collection area by modifying parameter settings, making route planning fast and simple. Based on the calculated route parameters, the flight parameters can be clearly viewed.

Load model

Vertical and Horizontal Fixed Wing CW-15

Drone external push scan mode captures data

● Application case introduction:

Rapid identification and classification of crops

When there are more than one crop, rapid classification and recognition are very important because different crops have different types and amounts of fertilizers. If fertilization is only based on the growth chart, it may lead to some crops being overfertilized while others are under fertilized. Compared to multispectral systems, unmanned aerial vehicle hyperspectral systems have more spectral bands and higher spectral resolution, allowing for the acquisition of different crop responses in different wavelength ranges and achieving rapid and effective identification. Its recognition rate can reach up to 95%.

Rapid classification of hyperspectral images using drones (overall recognition accuracy: 95.6%, Kappa: 96.3%)

Classification recognition result chart

Biochemical parameter detection of crops

During the process of obtaining images using the drone hyperspectral system, farmers can choose different vegetation indices to reflect crop growth and diseases. Vegetation indices such as Green Normalized Vegetation Index (GNDVI), Modified Chlorophyll Absorption Index (TCARI), Visible Light Atmospheric Impedance Index (VARI) Ratio Vegetation Index (RVI), and Soil Adjusted Vegetation Index (OSAVI). Farmers can also choose to directly reflect crop indicators, such as leaf nitrogen, phosphorus, potassium content, chlorophyll content, leaf area index, P content, and K content. Users can also customize vegetation indices for real-time demonstrations as needed.

Classification recognition

The rapid identification and classification of land cover is very important in remote sensing, and different land cover categories are widely used in surveying, urban planning, forestry, and other fields. Compared with multispectral systems, unmanned aerial vehicle hyperspectral systems have more spectral bands and higher spectral resolution, so they can obtain different responses of different objects in different wavelength ranges, thereby achieving fast and high-precision image classification and recognition. Meanwhile, GaiaSky mini VPos can efficiently collect large-area data.

Inversion of soil physicochemical parameters

Airborne hyperspectral remote sensing technology can estimate the moisture content in soil by obtaining spectral reflectance characteristics of soil and vegetation. By analyzing and processing spectral data from different bands, the spatial distribution and trend of soil moisture can be obtained. This is of great significance for agricultural irrigation management, drought monitoring, and water resource management.