Disclosed herein are systems, methods, and non-transitory computer-readable storage media for progressive band selection for hyperspectral images. A system having module configured to control a processor to practice the method calculates a virtual dimensionality of a hyperspectral image having multiple bands to determine a quantity Q of how many bands are needed for a threshold level of information, ranks each band based on a statistical measure, selects Q bands from the multiple bands to generate a subset of bands based on the virtual dimensionality, and generates a reduced image based on the subset of bands. This approach can create reduced datasets of full hyperspectral images tailored for individual applications. The system uses a metric specific to a target application to rank the image bands, and then selects the most useful bands. The number of bands selected can be specified manually or calculated from the hyperspectral image's virtual dimensionality.

/pdf/system-and-method-for-progressive-band-selection-for-2esh7lm14x.pdf

System and method for progressive band selection for hyperspectral images

The invention discloses a method for detecting the high-density packaging electronic assembly emissivity. The method comprises the step of controlling the temperature of a temperature control box to enable the temperature of an electronic assembly to be stabilized around the preset value, the step of acquiring reflected apparent temperature of components to be detected, the step of serving the acquired reflected apparent temperature of the components to be detected as compensation to the environment reflected temperature of the components to be detected, the step of respectively adjusting the emissivity of the components to be detected and detecting the temperature of the components to be detected, and the step of serving the adjustment value of the emissivity as the detecting value of the emissivity of the components to be detected when the temperature of the components to be detected is equal to the preset value. The infrared thermography detection mode and the reflected temperature compensation control technology are adopted in the method, the apparent temperature and the actual temperature of the components inside the electronic assembly are effectively detected, the emissivity of the components to be detected can be detected and modified by compensating the reflected temperature of the components to be detected, and the purpose of detecting the emissivity of the electronic assembly which is assembled in a high-density mode and is complex in packaging structure is achieved.

Method for detecting high-density packaging electronic assembly emissivity

A method for measuring spectral characteristics includes capturing spectral-spatial data that includes radiance measurements over spectrally flat, highly emissive surface portions of a sample material and heater at least two different heater temperatures for transmissive and/or emissive configurations. Temperatures of the sample material and heater are determined at the different heater temperatures for each configuration using, in each instance, radiance measurements taken after the temperatures of the heater and sample material have both stabilized. The transmissivity of the sample material is determined using the temperatures determined in the transmissive configuration and spectral-spatial data collected at selected points of interest over the sample material. The emissivity of the sample material is determined using the temperatures determined in the emissive configuration, the spectral-spatial data collected at selected points of interest over the sample material, and the transmissivity. The reflectivity of the sample material is determined using the emissivity and transmissivity.

Nadir Emissive Hyperspectral Measurement Operation (NEHMO)

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Nadir Emissive Hyperspectral Measurement Operation (NEHMO)