The Difference Between Hyperspectral and Multispectral

The dual recognition system integrating AI and hyperspectral technology is quietly changing the traditional NIR material sorting accuracy, bringing a qualitative leap to the renewable resources industry.

01

Traditional Point Scanning Spectral Imaging Technology vs. DATABEYOND Line Scanning Spectral Imaging Technology

Traditional point scanning spectroscopic imaging technology cannot ensure that the scanning line is parallel to the spray valve, resulting in significant errors. Meanwhile, the refractive index of point scanning is relatively high, resulting in low scanning accuracy. The principle of point scan spectral imaging is shown in the following figure.

DATABEYOND line scanning spectral imaging technology uses 256 band ultra high resolution near-infrared spectroscopy (referred to as 256 band hyperspectral) and 640 measurement points to ensure ultra-high scanning resolution.

02

Traditional multispectral sensor vs. DATABEYOND 256 band hyperspectral sensor

Traditional multispectral sensors have multiple detection bands such as 3-band (commonly known as 3D material machine), 4-band, and 16-band, while DATABEYOND hyperspectral sensors use 256 detection bands to extract more effective information about objects.

Traditional multispectral sensors

• 16 detection bands

• Serious loss of details and low spectral resolution

• Mixing spectra for the region

DATABEYOND Hyperspectral Sensor

• 256 detection bands

• Detailed details and high spectral resolution

• For single point spectroscopy