A pattern recognition system including an image gathering unit that gathers at least one digital representation of a field, an image analysis unit that pre-processes the at least one digital representation of a field, an annotation unit that provides a visualization of at least one channel for each of the at least one digital representation of the field, where the image analysis unit generates a plurality of image samples from each of the at least one digital representation of the field, and the image analysis unit splits each of the image samples into a plurality of categories.

Provided herein is an infrared spectroscopy technique capable of performing spectroscopic analysis on infrared rays in a broad infrared range (including a near infrared range, a short infrared range, a mid-infrared range, a far infrared range, and an extreme infrared range). An apparatus and a method for spectroscopic analysis on infrared rays are provided, without using an image sensor having a limited response range, to generate a signal in which transmitted light for each wavelength passes through a plurality of filters having different transmittances for each wavelength and is spatially pattern-coded, restore the signal into an infrared transmittance image, discriminate a wavelength according to a transmittance of the filter from the infrared transmittance image, calculate an intensity of the light for each wavelength, and output infrared spectrum information.

A non-contact system for the sensing the concentration of a compound includes a hyperspectral imaging device configured to capture a hyperspectral image of a fluid, a flow cell configured to enable the capturing of a hyperspectral image of a fluid, a process, and a memory. The memory includes instructions stored thereon which, when executed by the processor, cause the system to generate a hyperspectral image of the fluid in the flow cell, generate several spectral signals based on the hyperspectral image, provide the spectral signal as an input to a machine learning network, and predict by the machine learning network the concentration of a compound in a fluid.

An optical module includes a micro spectrometer. The micro spectrometer includes an optical crystal, a lens, and a photosensitive assembly. The optical crystal is configured to receive detection light and covert the detection light into interference light. The optical crystal is surrounded by a sleeve, the sleeve configured to fix a position of the optical crystal. The lens is configured for receiving the interference light and focusing the interference light. The photosensitive assembly is configured for imaging the interference light into an interference image. The optical module further comprises a controller. The controller is electrically connected to the photosensitive assembly, and the controller is used to convert the interference image into light wavelength signals and light intensity signals.

A spectral camera control device, being installed, along with a spectral camera provided with a liquid crystal tunable filter, in an aircraft capable of stationary flight. The spectral camera control device causes the spectral camera to capture a spectral image in a snapshot mode each time a transmission wavelength of the liquid crystal tunable filter is switched while the aircraft is in stationary flight, and the spectral camera control device causes a plurality of spectral images to be captured in succession at a same transmission wavelength when an SN ratio of the captured spectral image is less than a predetermined threshold.

A spectral image capturing method using a spectral camera control device installed in aircraft, the method comprising: a) setting an exposure time of the spectral camera so that a current exposure time is determined (S2), b) determining whether or not either an amount of attitude change or an amount of position change of the spectral camera per exposure time exceeds a predetermined threshold based on a spatial resolution of the spectral camera (S4), c1) when exceeding the predetermined threshold, resetting the current exposure time to be shorter (S5), c2) when not exceeding the predetermined threshold, not resetting the current exposure time to be shorter, and d) capturing a spectral image in a snapshot mode with the spectral camera using the reset exposure time, wherein when the transmission wavelength of the liquid crystal tunable filter is switched while the aircraft is in a stationary flight, steps b) to d) are repeated.

A signal processing method is performed by a computer. The signal processing method includes: obtaining first compressed image data including hyperspectral information and indicating a two-dimensional image in which the hyperspectral information is compressed, the hyperspectral information being luminance information on each of at least four wavelength bands included in a target wavelength range; extracting partial image data from the first compressed image data; and generating first two-dimensional image data corresponding to a first wavelength band and second two-dimensional image data corresponding to a second wavelength band from the partial image data.

Systems, devices, and methods of analyzing an interfered peak of a sample spectrum is disclosed. The sample spectrum may be generated using a detector of an optical spectrometer. The interfered peak may be produced by a plurality of spectral peaks of different wavelengths. The method may include generating interfered curve parameters representative of the peak shape of each spectral emission in the interfered peak based at least in part on a model of expected curve parameters for the optical spectrometer and a location of the interfered peak on the detector of the optical spectrometer; fitting a plurality of curves to the interfered peak, each curve corresponding to one of the plurality of spectral emissions of different wavelengths forming the interfered peak, wherein each curve is fitted using the interfered curve parameters provided by the model of expected peak parameters; and outputting the plurality of curves for further analysis.

A pattern recognition system including an image gathering unit that gathers at least one digital representation of a field, an image analysis unit that pre-processes the at least one digital representation of a field, an annotation unit that provides a visualization of at least one channel for each of the at least one digital representation of the field, where the image analysis unit generates a plurality of image samples from each of the at least one digital representation of the field, and the image analysis unit splits each of the image samples into a plurality of categories.

A system includes a discharge tool positioned within a wellbore and configured to generate an electrical discharge that interacts with a rock formation proximate to the discharge tool, wherein the interaction of the electrical discharge with the rock formation vaporizes a portion of the rock formation to generate a discharge plasma. The system further includes an optical emission spectroscopy (OES) sub-system configured to determine an elemental composition of the portion of the rock formation based on optical emission generated by the discharge plasma, wherein at least a portion of the OES sub-system is positioned within the wellbore.