Systems and methods disclosed herein, in accordance with one or more embodiments provide for imaging gas in a scene, the scene having a background and a possible occurrence of gas. In one embodiment, a method and a system adapted to perform the method includes: controlling a thermal imaging system to capture a gas IR image representing the temperature of a gas and a background IR image representing the temperature of a background based on a predetermined absorption spectrum of the gas, on an estimated gas temperature and on an estimated background temperature; and generating a gas-absorption-path-length image, representing the length of the path of radiation from the background through the gas, based on the gas image and the background IR image. The system and method may include generating a gas visualization image based on the gas-absorption-path-length image to display an output image visualizing a gas occurrence in the scene.

An image processing apparatus is configured to: acquire a correction factor from a recording unit for recording, for each of a plurality of pixels, the correction factor for correcting a difference in pixel value corresponding to a difference between a spectral sensitivity and a preset reference spectral sensitivity in a predetermined wavelength range at a pixel of interest, based on image data generated by an image sensor, the image sensor having the plurality of pixels on which color filters of a plurality of colors with different spectral transmittances are respectively located, the color filters forming a predetermined array pattern; calculate a correction amount for correcting a pixel value of the pixel of interest based on the correction factor at the pixel of interest and pixel values of pixels surrounding the pixel of interest; and correct the pixel value of the pixel of interest by using the correction amount.

An image processing apparatus is configured to: acquire a correction factor from a recording unit for recording, for each of a plurality of pixels, the correction factor for correcting a difference in pixel value corresponding to a difference between a spectral sensitivity and a preset reference spectral sensitivity in a predetermined wavelength range at a pixel of interest, based on image data generated by an image sensor, the image sensor having the plurality of pixels on which color filters of a plurality of colors with different spectral transmittances are respectively located, the color filters forming a predetermined array pattern; calculate a correction amount for correcting a pixel value of the pixel of interest based on the correction factor at the pixel of interest and pixel values of pixels surrounding the pixel of interest; and correct the pixel value of the pixel of interest by using the correction amount.

A lens scanning mode hyperspectral imaging system and a rotor unmanned aerial vehicle include: an imaging lens, an imaging spectrometer and a surface array detector arranged in sequence and coaxial to a main optic axis, wherein the imaging spectrometer and the surface array detector are connected and mounted to each other; wherein the lens scanning mode hyperspectral imaging system further includes: a driving device for driving the imaging lens to translate relative to a plane where a slit of the imaging spectrometer is. The hyperspectral imaging system of the present invention overcomes the technical bias in the prior art that the imaging lens must be fixed, and the present invention provides relative motion between the target object and the imaging spectrometer by the lens scanning mode for imaging, which solves the image distortion problem of conventional hyperspectral imaging system using a slit scanning mode or a scanning mode.

An instrument and method for analyzing a gas leak. The instrument can obtain a time series of spectra from a scene. The instrument can compare spectra from different times to determine a property of a gas cloud within the scene. The instrument can estimate the column density of the gas cloud at one or more locations within the scene. The instrument can estimate the total quantity of gas in the cloud. The instrument can estimate the amount of gas which has left the field of view of the instrument. The instrument can also estimate the amount of gas in the cloud which has dropped below the sensitivity limit of the instrument.

Embodiments of the invention provide a method and system that allows parameters of a desired target image to be determined from hyperspectral imagery of scene. The parameters may be representative of various aspects of the scene being imaged, particularly representative of physical properties of the scene. For example, in some medical imaging contexts, the property being imaged may be blood perfusion or oxygenation saturation level information per pixel. In one embodiment the parameters are obtained by collecting lower temporal and spatial resolution hyperspectral imagery, and then building a virtual hypercube of the information having a higher spatial resolution using a spatiospectral aware demosaicking process, the virtual hypercube then being used for estimation of the desired parameters at the higher spatial resolution. Alternatively, in another embodiment, instead of building the virtual hypercube and then performing the estimation, a joint demosaicking and parameter estimation operation is performed to obtain the parameters. Various white level and spectral calibration operations may also be performed to improve the results obtained. While establishing functional and technical requirements of an intraoperative system for surgery, we present iHSI system embodiments that allows for real-time wide-field HSI and responsive surgical guidance in a highly constrained operating theatre. Two exemplar embodiments exploiting state-of-the-art industrial HSI cameras, respectively using linescan and snapshot imaging technology, were investigated by performing assessments against established design criteria and ex vivo tissue experiments. We further report the use of one real-time iHSI embodiment during an ethically-approved in-patient clinical feasibility case study as part of a spinal fusion surgery therefore successfully validating our assumptions that our invention can be seamlessly integrated into the operating theatre without interrupting the surgical workflow.

Described herein are systems and methods that may efficiently detect multi-return light signals. A light detection and ranging system, such as a LIDAR system, may fire a laser beam that may hit multiple objects with a different distance in one line, causing multi-return light signals to be received by the system. Multi-return detectors may be able to analyze the peak magnitude of a plurality of peaks in the return signals and determine a multitude of peaks, such as the first peak, the last peak and the maximum peak. One embodiment to detect the multi-return light signals may be a multi-return recursive matched filter detector. This detector comprises a matched filter, peak detector, centroid calculation and a zeroing out function. Other embodiments may be based on a maximum finder that algorithmically selects the highest magnitude peaks from samples of the return signal and buffers for regions of interests peaks.

Disclosed is a method of acquiring and forming a spectrometry image of a sample including the following steps: e1) acquisition of an initial image, composed of pixels, of an area of the sample and definition of a maximum set of N, 2≤N, measurement positions of spectrometry, each measurement position including a coordinate and an intensity determined on the basis of the pixels; e2) assignment of a classification value to each of the N measurement positions on the basis of deviations, calculated based on an intensity difference and a coordinate difference, between the measurement positions; e3) determination of a group of P, 1≤P≤N, measurement positions as a function of the classification values; e4) successively, for each measurement position of the group, positioning of an excitation beam in the measurement position on the area of the sample, acquisition of a spectrometry measurement and formation of the spectrometry image.

Disclosed is a method of acquiring and forming a spectrometry image of a sample including the following steps: e1) acquisition of an initial image, composed of pixels, of an area of the sample and definition of a maximum set of N, 2≤N, measurement positions of spectrometry, each measurement position including a coordinate and an intensity determined on the basis of the pixels; e2) assignment of a classification value to each of the N measurement positions on the basis of deviations, calculated based on an intensity difference and a coordinate difference, between the measurement positions; e3) determination of a group of P, 1≤P≤N, measurement positions as a function of the classification values; e4) successively, for each measurement position of the group, positioning of an excitation beam in the measurement position on the area of the sample, acquisition of a spectrometry measurement and formation of the spectrometry image.

An apparatus for carrying out polarization resolved Raman spectroscopy on a sample (11), in particular a crystalline or polycrystalline sample, the apparatus comprises: at least one light source (13, 87, 93, 95, 97), in particular at least one laser, for providing excitation radiation to a surface of the sample (11), an optical system which is configured to simultaneously collect at least one on-axis Raman beam (21, 109) and at least one off-axis Raman beam (23, 111) from Raman light scattered by the sample (11) in response to exposing the surface to the excitation radiation, the at least one on-axis Raman beam (21, 109) being scattered from the sample (11) in a direction that is aligned with an optical axis of an objective (41) of the optical system for collecting the at least one on-axis Raman beam (21, 109), the at least one off-axis Raman beam being scattered from the sample in a direction that is inclined with regard to an optical axis of an objective (41) of the optical system for collecting the at least one off-axis Raman beam (23, 111), the optical system comprises at least one polarizer device (25, 113) for generating at least one polarized on-axis Raman beam (31, 33) from the at least one on-axis Raman beam (21, 109) and at least one polarized off-axis Raman beam (35) from the at least one off-axis Raman beam (23, 111), and the optical system comprises at least one spectrometer (37, 47 81, 83, 85) for generating, in particular simultaneously, an optical spectrum from each of the at least one polarized on-axis Raman beam (31, 33) and the at least one polarized off-axis Raman beam (35).