Abstract: Systems and methods of capturing imagery are provided. In particular, an imaging platform can be configured to capture imagery using a dual-axis steering mirror and one or more image capture devices. The line of sight angle of the imaging platform can be controlled by controlling the motion of the steering mirror in accordance with a motion profile. In example embodiments, the motion profile can correspond to a sawtooth wave. The imaging platform can further include one or more position sensors used to determine a position and/or orientation of the imaging platform along a path on which the imaging platform travels. The motion of the steering mirror can then be controlled to rotate about a first axis and a second axis to compensate for line of sight errors based at least in part on the determined position and/or orientation.

Abstract: Systems and methods of capturing imagery are provided. In particular, an imaging platform can be configured to capture imagery using a dual-axis steering mirror and one or more image capture devices. The line of sight angle of the imaging platform can be controlled by controlling the motion of the steering mirror in accordance with a motion profile. In example embodiments, the motion profile can correspond to a sawtooth wave. The imaging platform can further include one or more position sensors used to determine a position and/or orientation of the imaging platform along a path on which the imaging platform travels. The motion of the steering mirror can then be controlled to rotate about a first axis and a second axis to compensate for line of sight errors based at least in part on the determined position and/or orientation.

Abstract: Systems and methods of capturing imagery are provided. In particular, an imaging platform can be configured to capture imagery using a dual-axis steering mirror and one or more image capture devices. The line of sight angle of the imaging platform can be controlled by controlling the motion of the steering mirror in accordance with a motion profile. In example embodiments, the motion profile can correspond to a sawtooth wave. The imaging platform can further include one or more position sensors used to determine a position and/or orientation of the imaging platform along a path on which the imaging platform travels. The motion of the steering mirror can then be controlled to rotate about a first axis and a second axis to compensate for line of sight errors based at least in part on the determined position and/or orientation.

Abstract: Systems and methods of capturing imagery are provided. In particular, an imaging platform can be configured to capture imagery using a dual-axis steering mirror and one or more image capture devices. The line of sight angle of the imaging platform can be controlled by controlling the motion of the steering mirror in accordance with a motion profile. In example embodiments, the motion profile can correspond to a sawtooth wave. The imaging platform can further include one or more position sensors used to determine a position and/or orientation of the imaging platform along a path on which the imaging platform travels. The motion of the steering mirror can then be controlled to rotate about a first axis and a second axis to compensate for line of sight errors based at least in part on the determined position and/or orientation.

Abstract: Multiframe reconstruction combines a set of acquired images into a reconstructed image. Here, which images to acquire are selected based at least in part on the content of previously acquired images. In one approach, a set of at least three images of an object are acquired at different acquisition settings. For at least one of the images in the set, the acquisition setting for the image is determined based at least in part on the content of previously acquired images. Multiframe image reconstruction, preferably via a multi-focal display, is applied to the set of acquired images to synthesize a reconstructed image of the object.

Abstract: Systems and methods of capturing imagery are provided. In particular, an imaging platform can be configured to capture imagery using a dual-axis steering mirror and one or more image capture devices. The line of sight angle of the imaging platform can be controlled by controlling the motion of the steering mirror in accordance with a motion profile. In example embodiments, the motion profile can correspond to a sawtooth wave. The imaging platform can further include one or more position sensors used to determine a position and/or orientation of the imaging platform along a path on which the imaging platform travels. The motion of the steering mirror can then be controlled to rotate about a first axis and a second axis to compensate for line of sight errors based at least in part on the determined position and/or orientation.

Abstract: Examples of an imaging sensor include a two-dimensional staring sensor with spectral filter strips for multispectral overhead imaging. The sensor may also include a panchromatic sensor with block or strip filters. The sensor may be used to collect multispectral color image data at a sampling resolution from overhead imaging platforms such as airplanes or satellites. The sensor can be used to provide video images. If a panchromatic sensor is included, the sensor may be used to collect panchromatic image data. Examples of methods for processing the image date include using the panchromatic image data to perform multi-frame enhancement or panchromatic sharpening on spectral images to improve their quality and resolution.

Abstract: Multiframe reconstruction combines a set of acquired images into a reconstructed image. Here, which images to acquire are selected based at least in part on the content of previously acquired images. In one approach, a set of at least three images of an object are acquired at different acquisition settings. For at least one of the images in the set, the acquisition setting for the image is determined based at least in part on the content of previously acquired images. Multiframe image reconstruction is applied to the set of acquired images to synthesize a reconstructed image of the object.

Abstract: Multiframe reconstruction combines a set of acquired images into a reconstructed image. Here, which images to acquire are selected based at least in part on the content of previously acquired images. In one approach, a set of at least three images of an object are acquired at different acquisition settings. For at least one of the images in the set, the acquisition setting for the image is determined based at least in part on the content of previously acquired images. Multiframe image reconstruction, preferably via a multi-focal display, is applied to the set of acquired images to synthesize a reconstructed image of the object.

Abstract: Examples of systems and methods to provide estimates of dark current for pixels of a photosensor as a function of the temperature of the sensor and the gain applied to the photosensor are described. In various implementations, the dark current estimated for each pixel can depend at least partly on a global scale factor and a global bias that depend on temperature and gain and a temperature-independent and gain-independent offset value for each pixel. The scale, bias, and offsets may be determined from multiple dark field images taken by the sensor over a range of operating temperatures. In some cases, the scale and bias can be determined using a subset of less than all the image pixels. Scale and bias derived for a particular sensor can be used in the calibration of different sensors.

Abstract: Examples of systems and methods for delivering overhead video to a computing device are provided. Delivering the overhead video can include generating multiple versions of the overhead video having respective resolutions, bitrates, or frame rates. The system can then generate georeferenced video data for each version by incorporating georeferencing coordinates and time synchronization information. The georeferenced video data can be stored in transcoded video files. In response to a request from a computing device for video data of a geographical region, the system can transmit a primary video stream comprising georeferenced video data of a relatively high quality and a secondary video stream comprising georeferenced video data of a relatively low quality, wherein the primary video stream includes the geographical region and the secondary video stream includes a proximal geographical region.

Abstract: Examples of systems and methods to provide estimates of dark current for pixels of a photosensor as a function of the temperature of the sensor and the gain applied to the photosensor are described. In various implementations, the dark current estimated for each pixel can depend at least partly on a global scale factor and a global bias that depend on temperature and gain and a temperature-independent and gain-independent offset value for each pixel. The scale, bias, and offsets may be determined from multiple dark field images taken by the sensor over a range of operating temperatures. In some cases, the scale and bias can be determined using a subset of less than all the image pixels. Scale and bias derived for a particular sensor can be used in the calibration of different sensors.

Abstract: Multiframe reconstruction combines a set of acquired images into a reconstructed image. Here, which images to acquire are selected based at least in part on the content of previously acquired images. In one approach, a set of at least three images of an object are acquired at different acquisition settings. For at least one of the images in the set, the acquisition setting for the image is determined based at least in part on the content of previously acquired images. Multiframe image reconstruction is applied to the set of acquired images to synthesize a reconstructed image of the object.

Abstract: Described are systems, methods, computer programs, and user interfaces for image location, acquisition, analysis, and data correlation that uses human-in-the-loop processing, Human Intelligence Tasks (HIT), and/or or automated image processing. Results obtained using image analysis are correlated to non-spatial information useful for commerce and trade. For example, images of regions of interest of the earth are used to count items (e.g., cars in a store parking lot to predict store revenues), detect events (e.g., unloading of a container ship, or evaluating the completion of a construction project), or quantify items (e.g., the water level in a reservoir, the area of a farming plot).

Abstract: Multiframe reconstruction combines a set of acquired images into a reconstructed image. Here, which images to acquire are selected based at least in part on the content of previously acquired images. In one approach, a set of at least three images of an object are acquired at different acquisition settings. For at least one of the images in the set, the acquisition setting for the image is determined based at least in part on the content of previously acquired images. Multiframe image reconstruction is applied to the set of acquired images to synthesize a reconstructed image of the object.

Abstract: Described are systems, methods, computer programs, and user interfaces for image location, acquisition, analysis, and data correlation that uses human-in-the-loop processing, Human Intelligence Tasks (HIT), and/or or automated image processing. Results obtained using image analysis are correlated to non-spatial information useful for commerce and trade. For example, images of regions of interest of the earth are used to count items (e.g., cars in a store parking lot to predict store revenues), detect events (e.g., unloading of a container ship, or evaluating the completion of a construction project), or quantify items (e.g., the water level in a reservoir, the area of a farming plot).

Abstract: Examples of systems and methods for delivering overhead video to a computing device are provided. Delivering the overhead video can include generating multiple versions of the overhead video having respective resolutions, bitrates, or frame rates. The system can then generate georeferenced video data for each version by incorporating georeferencing coordinates and time synchronization information. The georeferenced video data can be stored in transcoded video files. In response to a request from a computing device for video data of a geographical region, the system can transmit a primary video stream comprising georeferenced video data of a relatively high quality and a secondary video stream comprising georeferenced video data of a relatively low quality, wherein the primary video stream includes the geographical region and the secondary video stream includes a proximal geographical region.

Abstract: Examples of systems and methods to provide estimates of dark current for pixels of a photosensor as a function of the temperature of the sensor and the gain applied to the photosensor are described. In various implementations, the dark current estimated for each pixel can depend at least partly on a global scale factor and a global bias that depend on temperature and gain and a temperature-independent and gain-independent offset value for each pixel. The scale, bias, and offsets may be determined from multiple dark field images taken by the sensor over a range of operating temperatures. In some cases, the scale and bias can be determined using a subset of less than all the image pixels. Scale and bias derived for a particular sensor can be used in the calibration of different sensors.

Abstract: Examples of an imaging sensor include a two-dimensional staring sensor with spectral filter strips for multispectral overhead imaging. The sensor may also include a panchromatic sensor with block or strip filters. The sensor may be used to collect multispectral color image data at a sampling resolution from overhead imaging platforms such as airplanes or satellites. The sensor can be used to provide video images. If a panchromatic sensor is included, the sensor may be used to collect panchromatic image data. Examples of methods for processing the image date include using the panchromatic image data to perform multi-frame enhancement or panchromatic sharpening on spectral images to improve their quality and resolution.

Abstract: Described are systems, methods, computer programs, and user interfaces for image location, acquisition, analysis, and data correlation that uses human-in-the-loop processing, Human Intelligence Tasks (HIT), and/or or automated image processing. Results obtained using image analysis are correlated to non-spatial information useful for commerce and trade. For example, images of regions of interest of the earth are used to count items (e.g., cars in a store parking lot to predict store revenues), detect events (e.g., unloading of a container ship, or evaluating the completion of a construction project), or quantify items (e.g., the water level in a reservoir, the area of a farming plot).