1296 results about "Satellite image" patented technology

Here, we introduce Z-webs, including Z-factors and Z-nodes, for the understanding of relationships between objects, subjects, abstract ideas, concepts, or the like, including face, car, images, people, emotions, mood, text, natural language, voice, music, video, locations, formulas, facts, historical data, landmarks, personalities, ownership, family, friends, love, happiness, social behavior, voting behavior, and the like, to be used for many applications in our life, including on the search engine, analytics, Big Data processing, natural language processing, economy forecasting, face recognition, dealing with reliability and certainty, medical diagnosis, pattern recognition, object recognition, biometrics, security analysis, risk analysis, fraud detection, satellite image analysis, machine generated data analysis, machine learning, training samples, extracting data or patterns (from the video, images, and the like), editing video or images, and the like. Z-factors include reliability factor, confidence factor, expertise factor, bias factor, and the like, which is associated with each Z-node in the Z-web.

Digital mapping techniques are disclosed that provide more flexibility to the user through the use of multiple views of map information, including a secondary map and a main map. The secondary map can provide the user with either a zoomed out or in relative to the main map, or a different type of map view (e.g., satellite images). The secondary map can be turned on and off by the user. The secondary map may include one or more viewing frames that indicate views (e.g., current and alternate views) of the main map. The user can move the main map, viewing frame, or secondary map to achieve desired map views. During such movement, the relationship between the main and secondary maps can be synchronous, partially synchronous, or serial.

Digital mapping techniques are disclosed that provide visually-oriented information to the user, such as driving directions that include visual data points along the way of the driving route, thereby improving the user experience. The user may preview the route associated with the driving directions, where the preview is based on, for example, at least one of satellite images, storefront images, and heuristics and/or business listings.

Disclosed is a network accessible tool that is capable of providing map and satellite image data, as well as other photographic image data to locate, identify, measure, view, and communicate information about land over the Internet-to-Internet users. The network accessible tool includes a location tool that allows the user to locate areas on a map using geographic names, township, range and section descriptions, county names, latitude and longitude coordinates or zip codes. Network accessible tool also includes a metes and bounds tool that draws boundaries on the map and image data in response to metes and bounds descriptions that have been entered by the Internet user. The network accessible tool also includes a lat/long drawing tool that draws boundaries on the map and image data based upon latitude and longitude coordinate pairs that have been entered by the Internet user. A cursor drawing tool allows the Internet user to draw and edit boundaries on the map and image data by simply clicking the cursor on the corner points of the boundary. An acreage calculation tool is also provided that calculates the acreage of an enclosed boundary. A distance measurement tool is also provided. The cursor information tool provides information relating to the name and creation date of the map and image data in accordance with the location of the cursor on the screen. The information can be communicated by printing, downloading, or e-mailing.

The invention provides a method and a system for processing high-definition remote sensing image data by applying a rational function model, a satellite image block adjustment and auto-match and distributed parallel processing technology. The method comprises the following steps: analyzing and processing input primary image data and computing parameters of the corresponding rational function model so as to obtain a stereo image pair by applying the computed rational function model; performing measurement and singlechip orientation of a control point and a connecting point on the primary image data, and performing block adjustment processing on an error between stereo image pixel data and the primary image data so as to improve the fit precision between the stereo image pixel data and the primary image data; generating an image similar to an epipolar ray, defining a matching template, measuring matched seed points and lines, performing automatic image matching and generating a digital elevation model; and respectively generating a digital orthophoto map and a digital line graph, and finishing manufacturing a product by applying the obtained data.

Disclosed is an emergency rescue system comprising a mobile terminal device and a control center. The mobile terminal device includes: a sender unit capable of sending an electrical mail; an abnormality sensor which detects an abnormality in an outer environment; a GPS receiver which generates GPS positional information; and a control unit which judges whether a level of sensing of the abnormality sensed by the abnormality sensor is not smaller than a predetermined threshold value. The control center judges a state of accident based on both a satellite image and the GPS positional information attached to the template mail sentence received from the mobile terminal device.

A computer-implemented method for crop type identification using satellite observation and weather data. The method includes extracting current and historical data from pixels of satellite images of a target region, generating temporal sequences of vegetation indices, based on the weather data, converting each timestamp of the temporal sequences into a modified temporal variable correlating with actual crop growth, training a classifier using a set of historical temporal sequences of vegetation indices with respect to the modified temporal variable as training features and corresponding historically known crop types as training labels, identifying a crop type for each pixel location within the satellite images using the trained classifier and the historical temporal sequences of vegetation indices with respect to the modified temporal variable for a current crop season, and estimating a crop acreage value by aggregating identified pixels associated with the crop type.

Navigating a UAV including receiving in a remote control device a user's selection of a GUI map pixel that represents a waypoint for UAV navigation, mapping the pixel's location on the GUI to Earth coordinates of the waypoint, transmitting the coordinates of the waypoint to the UAV, reading a starting position from a GPS receiver on the UAV, and piloting the UAV, under control of a navigation computer on the UAV, from the starting position to the waypoint in accordance with a navigation algorithm. While piloting the UAV from the starting position to the waypoint, such embodiments include reading from the GPS receiver a sequence of GPS data representing a flight path of the UAV, and depicting the flight of the UAV with 3D computer graphics, including a computer graphic display of a satellite image of the Earth, in dependence upon the GPS data.

A system and method for combining geographical and economic data extracted from satellite images, said information enriched with data pulled from additional sources, all aggregated as layers into a geo-spatial temporal map, wherein this current and historic information is used to generate predictions of future urban growth.

To provide a stereo image processing device enabling sufficiently accurate three-dimensional data to be obtained from satellite stereo images and aerial stereo images automatically with no involvement of operators and for complicated objects such as buildings in urban areas. A satellite image storing unit stores satellite image data. A stereo processing unit subjects satellite image data obtained from the satellite image storing unit to stereo matching processing to generate three-dimensional data. A DEM data automatic correcting unit uses information of external shape of buildings and the like obtained from map data in a map data storing unit to correct automatically erroneous data such as noises and losses in the three-dimensional data obtained with the stereo processing unit. The map data storing unit provides map data such as external shapes of buildings and the like to the DEM data automatically correcting unit.

The invention discloses a retrieval method for an aerosol optical thickness based on high resolution satellite image data. The retrieval method specifically comprises the following steps: 1) establishing a lookup table according to a 6S radiation transfer model; 2) carrying out high resolution data preprocessing, comprising radiometric calibration, geometric correction and cloud detection, acquiring original apparent reflectance and observation angle information, and acquiring atmospheric parameters according to the observation angle information and the lookup table; 3) calculating the normalized differential vegetation index of each pixel, and determining a red-blue wave band relation corresponding to each pixel according to the vegetation index and priori knowledge provided by the invention; and 4) inverting the aerosol optical thickness according to the satellite observed apparent reflectance, the atmospheric parameters and the red-blue wave band relation. According to the remote sensing retrieval method for the aerosol optical thickness disclosed by the invention, aerosol monitoring can be carried out on high solution satellites effectively, and a data source can be provided for regional and urban atmospheric environment and pollution.

Natural-phenomenological information is personalized to the unique requirements of a subscriber and distributed to the subscriber. Natural-phenomenological data is gathered from a variety of sources, such as current ground observations, forecast conditions, satellite images, and radar data. Personal preferences of the subscribers are also gathered and stored, such as activities of the subscriber, geographic locations of the activities, sensitivities of the subscriber to natural-phenomenological conditions, calendar information of the subscriber, and modes of delivery. The personal preferences of the subscriber are used as a filter to identify the natural-phenomenological data that is particularly useful to the subscriber, and the resulting information is delivered to the subscriber. The subscriber identifies the destination device that the information is delivered to. The invention is extensible to support new sources of natural-phenomenological information and new output devices. Electronic delivery of the personalized natural-phenomenological information can be through any number of a variety of output mediums, including pagers, text to voice synthesizers to create an audio stream for playback either via a telephone or a personal digital assistant (PDA), a multimedia-enabled computer, email, computer display monitors, PDA, and a PCS phone.

The invention discloses a ship target detection and identification method for a satellite-borne remote sensing optical image. The method comprises the following steps of preprocessing, ineffective information removal, connected region marking, feature extraction and classifier design. A coarse-to-fine strategy is adopted, firstly, a satellite image is subjected to downsampling and Gaussian filtering processing, then, land and isolated noisy points are removed from the processed image, a candidate region is quickly extracted and is marked, feature information is extracted after the image is rotated, then, the feature information is put into a pre-trained classifier to be furthered confirmed and analyzed, false alarms are removed, and a real ship target is found. Meanwhile, the invention also realizes a ship target detection and identification system for the satellite-bone remote sensing optical image. By use of the technical scheme, satellite-borne storage and calculation of limited resources can be effectively utilized to improve the stability and the real time of a ship detection algorithm, meanwhile, a false alarm rate is effectively lowered, and accurate data can be provided for maritime search and rescue and ship image positioning in time.

The invention discloses a high-precision monitoring method for cyanobacterial blooms in a large shallow lake through an MODIS (Moderate Resolution Imaging Spectroradiometer) and a satellite. The high-precision monitoring method is characterized by comprising the following steps: screening recognition indexes of the cyanobacterial blooms (short for algal blooms) which are insensitive to the type and thickness of an atmospheric aerosol; combining the synchronous MODIS, LandsatTM/ETM and satellite image in 2000-2013 year and a gradient analysis result of land and water information to obtain a pure pixel index threshold value of the algal blooms; precisely calculating the area of the algal blooms in a mixed pixel (part of pixels covered by the algal blooms) of the algal blooms by using a pixel growth algorithm (APA); and furthermore, estimating the actual area of the algal blooms in the total water area of the lake and the areal distribution of the algal blooms. The high-precision monitoring method can be used for precisely obtaining the spatial and temporal distribution of the algal blooms in the shallow lake, accurately analyzing the generation and development condition and trend of the algal blooms, scientifically estimating the lake pollution control and ecological remediation effects and providing the scientific and technological support for making a scientific decision for water resource management and water environment protection of departments of water conservation, environment protection and the like.

A method of determining a distance to be walked by a delivery vehicle driver including providing a satellite image that has an image of a building to which an item is to be delivered and an image of a street adjacent to the building. The method further includes defining a path, within the image, that corresponds to a path that the delivery vehicle driver will walk when delivering the item to the building. The method also includes the step of determining a length of the path.

Satellite image fusion method and system are provided. The satellite image fusion method includes matching sizes of a panchromatic image and a multispectral image captured from a satellite image; dividing the panchromatic image and the multispectral image into a plurality of blocks; calculating coefficients to acquire Intensity (I) component image data using pixel values of each block of the multispectral image; and generating fused multispectral image data by applying the acquired I component image data to a fusion algorithm. In the multispectral image fusion, the distortion of the color information can be minimized and the multispectral image data of the high resolution can be attained. In addition, the present invention is applicable to not only the IKONOS images but also other satellite images, and the present image fusion can be carried out fast.

Satellite images from vast historical archives are analyzed to predict severe storms. We extract and summarize important visual storm evidence from satellite image sequences in a way similar to how meteorologists interpret these images. The method extracts and fits local cloud motions from image sequences to model the storm-related cloud patches. Image data of an entire year are adopted to train the model. The historical storm reports since the year 2000 are used as the ground-truth and statistical priors in the modeling process. Experiments demonstrate the usefulness and potential of the algorithm for producing improved storm forecasts. A preferred method applies cloud motion estimation in image sequences. This aspect of the invention is important because it extracts and models certain patterns of cloud motion, in addition to capturing the cloud displacement.