Abstract: To provide an efficient training process even in a case where training images having a limited variation of shooting angles are available.

Abstract: The image processing device 60 includes an image deformation unit 61 which deforms object presence areas in two object presence images, in which one or more objects are present, obtained from each of two observed images to generate two deformed images, based on an observation angle of each of the two observed images and a size of the object appearing in each of the two observed images, and an image generation unit 62 which generates a synthesized image by synthesizing the two deformed images, determines difference of the object between the two object presence images, and generates an image capable of identifying the determined difference.

Abstract: A prediction unit classifies input data into a plurality of classes using a predictive model, and outputs a predicted probability for each class as a prediction result. A grouping unit generates a grouped class formed by k classes within top k predicted probabilities, and calculates a predicted probability of the grouped class. A loss calculation unit calculates a loss based on predicted probabilities of a plurality of classes including the grouped class. A model update unit updates the predictive model based on the calculated loss.

Abstract: An image processing device 100 includes a calculation unit 110 for calculating a solar radiation spectrum in a given area on the ground surface on the basis of an observed image of the area, a solar radiation spectrum component of the area, and the spectrum of a pure substance estimated in the area, and a conversion unit 120 for converting the observed image on the basis of the calculated solar radiation spectrum.

Abstract: A learning apparatus (500) according to the present invention includes a detection unit (510) that detects, as a candidate region of a learning target, a region detected by one of first detection processing of detecting an object region from a predetermined image and second detection processing of detecting a change region from background image information and the image, and not detected by the other, an output unit (520) that outputs at least a part of the candidate region as a labeling target, and a learning unit (530) that learns a model for performing the first detection processing or a model for performing the second detection processing by using the labeled candidate region as learning data.

Abstract: A learning device 10 includes a learning means 11 that, by using learning data including at least a set of image areas representing a periodic change of a predetermined object among changes between a plurality of images and a set of image areas representing a change other than the periodic change among the changes between the plurality of images, causes a detector to learn a process for detecting a change other than the periodic change among the changes between the plurality of images.

Abstract: To improve image quality of an image after correction, An image processing device 100 includes: a correction unit 110 for generating a plurality of correction images from an image by using a plurality of correction methods; an evaluation unit 120 for evaluating the image or each of the plurality of correction images for each of areas constituting the image or the correction image; and a synthesis unit 130 for synthesizing the plurality of correction images according to an evaluation result by the evaluation unit 120.

Abstract: Provided is to generate learning data set for learning a cloud correction processing method. A device includes: synthesis unit configured to have a more cloud image and a less cloud image including a same observation object as a set, and receive a first thick cloud area indicating a thick cloud in the more cloud image and a second thick cloud area indicating the thick cloud in the less cloud image; execute a first operation for the first and/or second thick cloud area to generate a first mask in the less cloud image; execute a second operation for the first and/or second thick cloud area to generate a second mask in the more cloud image; and adopt, as learning data, the set including data including the generated first mask and the more cloud image and data including the generated second mask and the less cloud image.

Abstract: An image processing device 100 includes a calculation unit 110 for calculating a solar radiation spectrum in a given area on the ground surface on the basis of an observed image of the area, a solar radiation spectrum component of the area, and the spectrum of a pure substance estimated in the area, and a conversion unit 120 for converting the observed image on the basis of the calculated solar radiation spectrum.

Abstract: An image processing device which is capable of accurately detects and corrects areas affected by clouds even if multiple types or layers of clouds present in images, is disclosed. The device includes: a cloud spectrum selection unit for selecting at least one spectrum for each of pixels from spectra of one or more clouds present in an input image; an endmember extraction unit for extracting spectra of one or more endmembers other than the one or more clouds from those of the input image; and an unmixing unit for deriving fractional abundances of the respective spectra of one or more endmembers and a selected spectrum of one of the one or more clouds for the each of pixels in the input image.

Abstract: An information processing device according to the present invention includes a memory; and at least one processor coupled to the memory. The processor performing operations. The operations includes: receiving first multiple-images; and generating, based on a first image in the first multiple-images, a third image relating to a second image in a second wavelength band different from a first wavelength band of the first image.

Abstract: An device extracts a luminance that satisfies a rule from among luminance of being observed values of electromagnetic waves in a plurality of wavelength bands different mutually and calculates a first interim optical path radiance based on the luminance. The observed values is associated with each pixel constituting an observation image for each of the wavelength bands. The device calculates a final optical path radiance for each of the wavelength bands by weighting the first and a second interim optical path radiance including information on atmosphere with a weighting coefficient and adding those weighted luminance. The weighting coefficient represents reliability for an assumption of a dark pixel that is a pixel assumed not to be affected by electromagnetic waves reflected by an object. The device subtracts the final optical path radiance from all pixels of the observation image for each of the wavelength bands.

Abstract: An image processing device 500 for detecting and correcting areas affected by a cloud in an input image is provided. The image processing device 500 includes: endmember extraction unit 501 that extracts a set of spectra of one or more endmembers from the input image; cloud spectrum acquisition unit 502 that acquires one cloud spectrum in the input image; endmember selection unit 503 that compares the endmember spectra with the cloud spectrum, removes one or more spectra from the set of spectra of the endmember spectra, the one or more spectra being same as or similar to the one cloud spectrum, and outputs a resultant set of spectra as an authentic set of spectra; and an unmixing unit 504 that derives, for each pixel in the input image, one or more fractional abundances of the one or more endmembers and a fractional abundance of cloud in the authentic set of spectra, and detects one or more cloud pixels in the input image.

Abstract: An image processing system includes a storage device, and a processor coupled to the storage device and configured to extract, from an input image, an aerosol spectrum across a plurality of wavelength bands of the input image. The storage device contains therein a database storing a plurality of predetermined aerosol spectra, and a plurality of corresponding values associated with an aerosol optical property at the plurality of wavelength bands. The processor is further configured to retrieve, from the database, values associated with the aerosol optical property at the plurality of wavelength bands, the retrieved values corresponding to the extracted aerosol spectrum. The processor is further configured to correct the input image, by using the retrieved values associated with the aerosol optical property at the plurality of wavelength bands, to generate a corrected image.

Abstract: An image processing device which is capable of accurately detects and corrects areas affected by clouds even if multiple types or layers of clouds present in images, is disclosed.

Abstract: An image processing system includes a storage device, and a processor coupled to the storage device and configured to extract, from an input image, an aerosol spectrum across a plurality of wavelength bands of the input image. The storage device contains therein a database storing a plurality of predetermined aerosol spectra, and a plurality of corresponding values associated with an aerosol optical property at the plurality of wavelength bands. The processor is further configured to retrieve, from the database, values associated with the aerosol optical property at the plurality of wavelength bands, the retrieved values corresponding to the extracted aerosol spectrum. The processor is further configured to correct the input image, by using the retrieved values associated with the aerosol optical property at the plurality of wavelength bands, to generate a corrected image.

Abstract: Provided is an image processing device including: an image read-in unit 51 which reads in one or more observation images which retain observation results from one or a plurality of wavelength regions; a reflection-absorption band region deletion unit 52 which deletes, from each of one or more of the observation images, observation results with respect to a reflection-absorption band region, and generates reflection-absorption band-deleted images; a coefficient constituent proportional value computation unit 53 which, using the reflection-absorption band-deleted images, derives a proportional value of a coefficient constituent for each wavelength band used in the observation; and a coefficient constituent deletion unit 54 which, on the basis of the obtained proportional values of the coefficient constituents for each of the wavelength bands, deletes the coefficient constituents from each of the observation values included in the one or more observation images, and generates illumination-corrected images.

Abstract: An information processing device according to the present invention includes a memory; and at least one processor coupled to the memory. The processor performing operations. The operations includes: receiving first multiple-images; and generating, based on a first image in the first multiple-images, a third image relating to a second image in a second wavelength band different from a first wavelength band of the first image.

Abstract: To improve image quality of an image after correction, An image processing device 100 includes: a correction unit 110 for generating a plurality of correction images from an image by using a plurality of correction methods; an evaluation unit 120 for evaluating the image or each of the plurality of correction images for each of areas constituting the image or the correction image; and a synthesis unit 130 for synthesizing the plurality of correction images according to an evaluation result by the evaluation unit 120.

Abstract: In an image representing an observed ground surface area, the device calculates an optical-path-radiance with a high degree of accuracy.