Examples of the present disclosure include a method of collecting a non-earth image of an object (110) in space, the method including identifying a first orbital direction of the object in space, identifying a second orbital direction of an image capture device (130), determining a line of apparent motion between the object in space (110) and the image capture device (130) based on the identified first orbital direction and the identified second orbital direction, determining a residual motion across the image capture device, assessing an encounter window between the image capture device and the object in space, aligning sensors of the image capture device along the line of apparent motion, and when the object in space and the image capture device are within the encounter window, scanning (140) at least the object in space by the image capture device along the line of apparent motion.
B64G 1/24 - Appareils de guidage ou de commande, p. ex. de commande d'assiette
B64G 1/68 - Aménagements ou adaptations d'appareils ou d'instruments, non prévus ailleurs des détecteurs de météoroïdes ou de débris spatiaux
B64G 1/10 - Satellites artificielsSystèmes de tels satellitesVéhicules interplanétaires
B64G 3/00 - Observation ou poursuite des véhicules astronautiques
H04N 23/695 - Commande de la direction de la caméra pour modifier le champ de vision, p. ex. par un panoramique, une inclinaison ou en fonction du suivi des objets
B64G 1/36 - Appareils de guidage ou de commande, p. ex. de commande d'assiette par des capteurs, p. ex. par des capteurs solaires, des capteurs d'horizon
G03B 15/00 - Procédés particuliers pour prendre des photographiesAppareillage à cet effet
G01C 11/02 - Dispositions de prises de vues spécialement adaptées pour la photogrammétrie ou les levers photographiques, p. ex. pour commander le recouvrement des photos
2.
ESTIMATING GAS QUANTITY IN A PIXEL BASED ON SPECTRAL MATCHED FILTERING
Gas quantity in a pixel may be estimated based on spectral matched filtering. Image data associated with a scene may be received. The scene may comprise a plurality of pixels. Next, a spectral matched filter may be constructed for a predetermined gas and based on the image data. A quantity of the predetermined gas may then be estimated in at least one of the plurality of pixels by applying the spectral matched filter to the image data.
G01N 21/3504 - CouleurPropriétés spectrales, c.-à-d. comparaison de l'effet du matériau sur la lumière pour plusieurs longueurs d'ondes ou plusieurs bandes de longueurs d'ondes différentes en recherchant l'effet relatif du matériau pour les longueurs d'ondes caractéristiques d'éléments ou de molécules spécifiques, p. ex. spectrométrie d'absorption atomique en utilisant la lumière infrarouge pour l'analyse des gaz, p. ex. analyse de mélanges de gaz
G01N 21/359 - CouleurPropriétés spectrales, c.-à-d. comparaison de l'effet du matériau sur la lumière pour plusieurs longueurs d'ondes ou plusieurs bandes de longueurs d'ondes différentes en recherchant l'effet relatif du matériau pour les longueurs d'ondes caractéristiques d'éléments ou de molécules spécifiques, p. ex. spectrométrie d'absorption atomique en utilisant la lumière infrarouge en utilisant la lumière de l'infrarouge proche
Onboard geolocation of target pixels in images captured by a spacecraft is disclosed. By performing the geolocation onboard the spacecraft considerable time is saved. The geolocation may be based on timestamped ephemeris data and timestamped attitude data of the spacecraft. In one aspect, initial geolocation data is refined based on a digital construct. In one aspect, the accuracy of the ephemeris data and/or the attitude data are improved based on refinements made to the initial geolocation data. For example, corrections may be made to attitude and/or orbit filter parameters based on the refinements made to the initial geolocation data. In one aspect, the accuracy of the attitude data and/or the ephemeris data may be improved by the use of state information. The state information may be determined at a ground computing station based on information not available to the spacecraft such as Ground Control Points and/or Star Control Points.
G01C 21/14 - NavigationInstruments de navigation non prévus dans les groupes en utilisant des mesures de la vitesse ou de l'accélération exécutées à bord de l'objet navigantNavigation à l'estime en enregistrant la route parcourue par l'objet
G01C 21/24 - NavigationInstruments de navigation non prévus dans les groupes spécialement adaptés pour la navigation des cosmonautes
G01C 21/26 - NavigationInstruments de navigation non prévus dans les groupes spécialement adaptés pour la navigation dans un réseau routier
A system for simplified generation of systems for analysis of satellite images to geolocate one or more objects of interest. A plurality of training images labeled for a study object or objects with irrelevant features loaded into a preexisting feature identification subsystem causes automated generation of models for the study object. This model is used to parameterize pre-engineered machine learning elements that are running a preprogrammed machine learning protocol. Training images with the study are used to train object recognition filters. This filter is used to identify the study object in unanalyzed images. The system reports results in a requestor's preferred format.
G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
G06V 10/50 - Extraction de caractéristiques d’images ou de vidéos en effectuant des opérations dans des blocs d’imagesExtraction de caractéristiques d’images ou de vidéos en utilisant des histogrammes, p. ex. l’histogramme de gradient orienté [HoG]Extraction de caractéristiques d’images ou de vidéos en utilisant l’addition des valeurs d’intensité d’imageAnalyse de projection
Estimating absolute geospatial accuracy in input images without the use of surveyed control points is disclosed. For example, the absolute geospatial accuracy of a satellite images may be estimated without the use of control points (GCPs). The absolute geospatial accuracy of the input images may be estimated based on a statistical measure of relative accuracies between pairs of overlapping images. The estimation of the absolute geospatial accuracy may include determining a root mean square error of the relative accuracies between pairs of overlapping images. For example, the absolute geospatial accuracy of the input images may be estimated by determining a root mean square error of the shears of respective pairs of overlapping images. The estimated absolute geospatial accuracy may be used to curate GCPs, evaluate a digital elevation map, generate a heatmap, or determine whether the adjust the images until a target absolute geospatial accuracy is met.
G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras
G06T 7/33 - Détermination des paramètres de transformation pour l'alignement des images, c.-à-d. recalage des images utilisant des procédés basés sur les caractéristiques
6.
AUTOMATED PROCESS FOR BUILDING MATERIAL DETECTION IN REMOTELY SENSED IMAGERY
A system and method for automatically (without human intervention) identifying a material in an image that comprises a building material for buildings in the image. Building side polygons which may be used to identify building sides in off-nadir imagery are generated. Off-nadir, multispectral images, building footprint data and elevation data for a geographic area are taken as input. Building heights for buildings in the geographic area are determined by clipping the elevation data using the building footprint data and then calculating building heights. A candidate set of polygons representing visible side faces of each building in the images is created from the known building heights, and based on the viewpoint direction, using vector analysis. After culling occluded polygons and polygons too small for analysis, the polygons are associated with a building footprint. Building materials for each building having visible polygons can then be identified.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
Described herein are methods and systems for detecting clouds in satellite imagery captured using first and second sensor arrays carried by a satellite and physically offset from one another on the satellite. Movement mask data is produced based first image data and the second image data, obtained, respectively, using the first and second sensor arrays carried by the satellite. Cloud mask data is produced based on spectral information included one of the first and second image data. Cloud detection data is produced based on the movement mask data and the cloud mask data, the cloud detection data indicating where it is likely, based on both the movement mask data and the cloud mask data, that one or more clouds are represented within one of the first and second image data. The cloud detection data can be used in various ways to account for the clouds included within the satellite imagery.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
8.
AUTOMATED CONCRETE/ASPHALT DETECTION BASED ON SENSOR TIME DELAY
Identifying concrete and/or asphalt (or other materials) in a multispectral satellite image that has multiple bands including a first set of bands from a first sensor (304) and a second set of bands from a second sensor (306). The second sensor is at a different position on a focal plane as compared to the first sensor so that a single location depicted in the multispectral image will have been sensed at different times by the first sensor and the second sensor. The system identifies moving vehicles in the multispectral image and subsequently identifies sample pixels in the multispectral image that are near the moving vehicles. These pixels are high confidence samples of roads made of concrete and/or asphalt. Additional pixels are identified in the multispectral image having spectral characteristics that are within a threshold of spectral characteristics of the sample pixels. These additional pixels also depict concrete and/or asphalt.
G01N 21/31 - CouleurPropriétés spectrales, c.-à-d. comparaison de l'effet du matériau sur la lumière pour plusieurs longueurs d'ondes ou plusieurs bandes de longueurs d'ondes différentes en recherchant l'effet relatif du matériau pour les longueurs d'ondes caractéristiques d'éléments ou de molécules spécifiques, p. ex. spectrométrie d'absorption atomique
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
An automated system is provided for classifying materials in remotely-sensed imagery based on automated construction of a dynamic classifier - namely, a classifier that is automatically trained on the same image to which it is then subsequently applied. A first automated process identifies high confidence exemplars of each class using tailored classification techniques. This data is then used to train a supervised classification model (e.g., discriminant analysis), and the resultant classifier is applied to other pixels in the image that are unclassified or uncertain. Dynamic classification is automatically customized to the current image and can yield a more accurate and efficient material classification versus a static (image-independent) or manually trained classifier. It can overcome various confounding factors including inconsistencies in radiometric calibration, atmospheric conditions, and atmospheric distortions of ground spectra; different viewing and illumination geometries; and regional variations in the composition of certain materials like asphalt and concrete.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Provision of commercial information regarding online access
to geospatial imagery using pricing levels corresponding to
different levels of available functionality via the
Internet. Hosting and maintenance of websites that allow access and
manipulation of geospatial imagery and related data
including viewing and saving data related to the geospatial
imagery; hosting of platforms on the Internet for searching
functionality, filtering, annotation, bookmarking, alerting,
monitoring, and accessing integrated web services for use as
tools in relation to geospatial imagery.
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Providing information services, namely, providing geographic
information through the collection, manipulation,
processing, and/or formatting of images and geographic
measurements of the earth.
12.
Generation of high resolution population density data sets through exploitation of high resolution overhead imagery data and low resolution population density data sets
Utilities (e.g., systems, methods, etc.) for automatically generating high resolution population density estimation data sets through manipulation of low resolution population density estimation data sets with high resolution overhead imagery data (e.g., such as overhead imagery data acquired by satellites, aircrafts, etc. of celestial bodies). Stated differently, the present utilities make use of high resolution overhead imagery data to determine how to distribute the population density of a large, low resolution cell (e.g., 1000m) among a plurality of smaller, high resolution cells (e.g., 100m) within the larger cell.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/66 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques utilisant des comparaisons ou corrélations simultanées de signaux images avec une pluralité de références, p.ex. matrice de résistances avec des références réglables par une méthode adaptative, p.ex. en s'instruisant
A system for analysis of remotely sensed image data of parking facilities, storage lots, or road regions, for determining patterns over time and determine time-based information such as facility capacities or vehicle movement.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
Automatic characterization or categorization of portions of an input multispectral image based on a selected reference multispectral image. Sets (e.g., vectors) of radiometric descriptors of pixels of each component of a hierarchical representation of the input multispectral image can be collectively manipulated to obtain a set of radiometric descriptors for the component. Each component can be labeled as a (e.g., relatively) positive or negative instance of at least one reference multispectral image (e.g., mining materials, crops, etc.) through a comparison of the set of radiometric descriptors of the component and a set of radiometric descriptors for the reference multispectral image. Pixels may be labeled (e.g., via color, pattern, etc.) as positive or negative instances of the land use or type of the reference multispectral image in a resultant image based on components within which the pixels are found.
G06K 9/46 - Extraction d'éléments ou de caractéristiques de l'image
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/68 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques utilisant des comparaisons successives des signaux images avec plusieurs références, p.ex. mémoire adressable
A system for automatically characterizing areas of interest (e.g., urban areas, forests, and/or other compound structures) in high resolution overhead imagery through manipulation of a dictionary of visual words. The pixels of an input overhead image are initially clustered into a plurality of hierarchically-arranged connected components of a first hierarchical data structure. Image descriptors (e.g., shape, spectral, etc.) of the connected components are then clustered into a plurality of hierarchically-arranged nodes of a second hierarchical data structure. The nodes at a particular level in the second hierarchical data structure become a dictionary of visual words. Subsets of the visual words may be used to label the cells of a grid over the geographic area as falling into one of a number of areas of interest. Categorization information from the grid may be mapped into a resultant image whereby pixels depict their respective type of area of interest.
G06K 9/46 - Extraction d'éléments ou de caractéristiques de l'image
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
16.
System and method for multi resolution and multi temporal image search
A system for modular image mining and search, comprising a plurality of image capture devices, a search engine, an indexing engine, a database, and user interface software. A plurality of image capture devices capture images and store them to a database. The indexing engine indexes images to create image data for each image with associated metadata and stores the information to the database. The interface software is used to request search queries via a search engine. The search engine accesses the image data to find images or parts of images that satisfy the search query.
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Providing information services, namely, providing geographic information through the collection, manipulation, processing, and/or formatting of images and geographic measurements of the earth
09 - Appareils et instruments scientifiques et électriques
16 - Papier, carton et produits en ces matières
41 - Éducation, divertissements, activités sportives et culturelles
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Prerecorded electronic media featuring images of the earth;
and computer software in the field of earth imaging for the
purpose of using, viewing and manipulating images of the
earth. Posters, photographs, and maps featuring images of the
earth. Digital aerial imaging and photography, namely, producing
satellite and geospatial imagery. Design, development, implementation, updating and
maintenance of computer software and databases; consulting
services in the field of design, selection, implementation
and use of computer hardware and software systems for
others; interpretation of digital aerial and satellite
images of the earth; photogrammetry services; geospatial
services, namely, making maps and scale drawings from aerial
and satellite photographs.
09 - Appareils et instruments scientifiques et électriques
Produits et services
A programming interface for accessing, searching, and
viewing aerial and satellite earth imagery and vector data
from an on-line database and integrating selected images and
data into a website or internet-accessible device for access
and use by others.
09 - Appareils et instruments scientifiques et électriques
Produits et services
Downloadable computer software for accessing, viewing, and
downloading aerial and satellite imagery from an on-line
database, and integrating selected images into other
programs and websites for access and use in a wide variety
of applications by end users.
