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.

This disclosure describes a system and a method for determining statistics of plant populations based on overhead optical measurements. The system may include one or more hardware processors configured by machine-readable instructions to receive output signals provided by one or more remote sensing devices mounted to an overhead platform. The output signals may convey information related to one or more images of a land area where crops are grown. The one or more hardware processors may be configured by machine-readable instructions to distinguish vegetation from background clutter; segregate image regions corresponding to the vegetation from image regions corresponding to the background clutter; and determine a plant count per unit area.

This disclosure describes a system and a method for determining statistics of plant populations based on overhead optical measurements. The system may include one or more hardware processors configured by machine-readable instructions to receive output signals provided by one or more remote sensing devices mounted to an overhead platform. The output signals may convey information related to one or more images of a land area where crops are grown. The one or more hardware processors may be configured by machine-readable instructions to distinguish vegetation from background clutter; segregate image regions corresponding to the vegetation from image regions corresponding to the background clutter; and determine a plant count per unit area.

Described herein is a method of generating an image that includes receiving a set of data corresponding to an object. The method also includes generating a three-dimensional representation of the object using the set of data. The method includes generating properties for the object using the set of data. The method also includes associating the properties with the three-dimensional representation of the object, wherein the three-dimensional representation of the object and the properties for the object are used to produce training data for an object recognition algorithm.

Techniques for atmospheric compensation in satellite imagery that include converting an image including an array of radiance values to an array of surface reflectance values. The conversion is performed in an automated fashion by identifying one or more portions of the image for which the surface reflectance can be estimated and determining the Aerosol Optical Depth (AOD) by iteratively comparing the radiance value captured by the image sensor to a calculated radiance value (based on the known surface reflectance, historical values for other atmospheric parameters, and the AOD) and adjusting the AOD until the calculated radiance value is substantially the same as the captured radiance value.

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.

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.

A method of operating a dimensioning system to determine dimensional information for objects is disclosed. A number of images are acquired. Objects in at least one of the acquired images are computationally identified. One object represented in the at least one of the acquired images is computationally initially selected as a candidate for processing. An indication of the initially selected object is provided to a user. At least one user input indicative of an object selected for processing is received. Dimensional data for the object indicated by the received user input is computationally determined.

The present invention presents four fusion approaches, which can be directly applied to Worldview-3 (WV-3) images. Moreover, they can also be applied to other current or future satellite images that have similar characteristics of WV-3. The present invention also presents data processing methods, including image fusion method, anomaly detection method, material classification method, and concentration estimation method that utilize the high-resolution images generated by the mentioned fusion methods. There are four fusion approaches disclosed in the present invention, e.g. Parallel one-step fusion approach; Sequential fusion of various bands; Sequential-Parallel fusion; and Parallel-Sequential fusion.

A computer-implemented method for identifying clouds in a digital image, comprising pixels, of a scene, the method comprising quantifying pixel-level characteristic/s in each of a multiplicity of pixels within a digital image of a scene; comparing function/s of the pixel-level characteristic/s to threshold/s thereby to generate comparison result/s; and using a controller for generating an output identifying clouds in the digital image, including identifying presence of cloudiness at at least one first pixel in the digital image, at least partly because the at least one comparison result indicates that the first pixel falls below the threshold/s, and identifying absence of cloudiness at at least one second pixel in the digital image, at least partly because the at least one comparison result indicates that the second pixel exceeds the threshold/s.