Implementations relate to detecting/replacing transient obstructions from high-elevation digital images. A digital image of a geographic area includes pixels that align spatially with respective geographic units of the geographic area. Analysis of the digital image may uncover obscured pixel(s) that align spatially with geographic unit(s) of the geographic area that are obscured by transient obstruction(s). Domain fingerprint(s) of the obscured geographic unit(s) may be determined across pixels of a corpus of digital images that align spatially with the one or more obscured geographic units. Unobscured pixel(s) of the same/different digital image may be identified that align spatially with unobscured geographic unit(s) of the geographic area. The unobscured geographic unit(s) also may have domain fingerprint(s) that match the domain fingerprint(s) of the obscured geographic unit(s). Replacement pixel data may be calculated based on the unobscured pixels and used to generate a transient-obstruction-free version of the digital image.

The present invention discloses a method for recognizing a seawater polluted area based on a high-resolution remote sensing image and a device and belongs to the field of digital image processing. According to the method, firstly, automatic sea and land classification is performed on a remote sensing image by using a supervised learning algorithm, a classification result may reach a higher precision level by processized iterative clustering, and meanwhile, compared with an existing analysis and classification method for a sea and land boundary, the algorithm is less in calculation; and then, a chlorophyll-associated normalized difference vegetation index, a brightness-associated normalized difference water shadow index, a segmentation-based image interpretation thought and a human visual saliency based mechanism in remote sensing interpretation are combined by virtue of a chlorophyll concentration difference of a seawater polluted area and surrounding seawater and a brightness difference of pollutant shadows, and the seawater polluted area is extracted by threshold segmentation, an area where the water quality is good and a heavily polluted area are respectively extracted, and then, a pollution transition area is further extracted. The method disclosed by the present invention provides convenience and an accurate reference for prevention and control of marine pollution.

The present technology relates to a display control device, a display control method, and a program enabling images to be checked in real time.

A display control device includes: a receiving unit that receives small volume data that is information on current imaging by an artificial satellite; and a control unit that displays a live view image based on the small volume data on a display unit, wherein the receiving unit receives a satellite image corresponding to the live view image as large volume data at a timing different from that of the small volume data. The present technology can be applied to, for example, a satellite image processing system that processes satellite images captured by artificial satellites.

Systems, methods and apparatus for image processing for reconstructing a super resolution image from multispectral (MS) images. Receive image data and initialize a fused image using a panchromatic (PAN) image, and estimate a blur kernel between the PAN image and the MS images as an initialization function. Iteratively, fuse a MS image with an associated PAN image of a scene using a fusing algorithm. Each iteration includes: update the blur kernel based on a Second-Order Total Generalized Variation function to regularize a kernel shape; fuse the PAN image and MS images with the updated blur kernel based on a local Laplacian prior function to regularize the high-resolution information to obtain an estimated fused image; compute a relative error between the estimated fused image of the current iteration and a previous estimated fused image from a previous iteration, to a predetermined threshold, to stop iterations stop, to obtain a PAN-sharpened image.

Disclosed herein are a method and apparatus for fusing a panchromatic image and an infrared image. The apparatus includes: an image acquisition unit configured to acquire a panchromatic image and an infrared image having the same coordinate system; a filtering unit configured to generate a low-frequency panchromatic image by performing low-frequency filtering on the panchromatic image, and to generate a high-frequency panchromatic image by subtracting the low-frequency panchromatic image from the panchromatic image; an image correction unit configured to generate a corrected high-frequency panchromatic image, to construct a linear regression equation, and to generate a corrected infrared image by using the constructed linear regression equation; a scaling factor determination unit configured to determine the ratio at which the panchromatic image and the infrared image are fused together; and a fused image generation unit configured to generate a fused image through multiplication and addition.

A satellite imaging system uses multiple cameras. For example, the incoming light from a telescope section of the satellite goes through a dichroic beam splitter, with the standard visible spectrum going to a first camera and wavelengths outside of the standard visible spectrum, such as in the infrared or coastal blue range, are sent to a second camera, allowing image data from multiple wavelength ranges to be captured simultaneously. The image data from the different wavelengths of the two cameras can then be selectively recombined. In a more general case, there is a first range of wavelengths and a second range of wavelengths.

Disclosed are a method and apparatus for SAR image data enhancement, and a storage medium. The method includes: processing an SAR target image by electromagnetic simulation to acquire an SAR electromagnetic simulation image; and processing the SAR electromagnetic simulation image and the SAR target image by a generative adversarial network to obtain a set of virtual samples of the SAR target image.

Image acquisition and analysis systems for efficiently generating high resolution geo-referenced spectral imagery of a region of interest. In some examples, aerial spectral imaging systems for remote sensing of a geographic region, such as a vegetative landscape are disclosed for monitoring the development and health of the vegetative landscape. In some examples photogrammetry processes are applied to a first set of image frames captured with a first image sensor having a first field of view to generate external orientation data and surface elevation data and the generated external orientation data is translated into external orientation data for other image sensors co-located on the same apparatus for generating geo-referenced images of images captured by the one or more other image sensors.

Image acquisition and analysis systems for efficiently generating high resolution geo-referenced spectral imagery of a region of interest. In some examples, aerial spectral imaging systems for remote sensing of a geographic region, such as a vegetative landscape are disclosed for monitoring the development and health of the vegetative landscape. In some examples photogrammetry processes are applied to a first set of image frames captured with a first image sensor having a first field of view to generate external orientation data and surface elevation data and the generated external orientation data is translated into external orientation data for other image sensors co-located on the same apparatus for generating geo-referenced images of images captured by the one or more other image sensors.

A method for increasing spatial resolution of a MS image using a PAN image. For a portion of the scene, values of parameters of a scene model are obtained according to a resemblance between a simulated MS reflectance and the MS reflectance. A relative variation in the simulated MS reflectance is determined with respect to a simulated PAN reflectance near the values of parameters obtained. A difference between the PAN reflectance and a reflectance of a PAN image with reduced spatial resolution is estimated. An MS image with increased spatial resolution is determined, by adding to the MS reflectance a correction corresponding to a product of this difference and this relative variation. A corresponding image-processing system is also provided.