Pictometry International Corporation

Eagle View Technologies, Inc.

Frank Giuffrida

Stephen L Schultz

Robert L Gray

Charles Mondello

Robert Bradacs

Chris Schnaufer

Craig D Woodward

Yandong Wang

Mark A Winkelbauer

Matt Kusak

Scott D Lawrence

Kevin G Willard

Steve Adams

Chad Skolny

Steven Douglas Adams

Mark A Foster

John William Stephens

Matthew Kusak

Stephen Schultz

Matthew Finn

Glenn Wallace

Chris Schanuafer

Robert Gray

Wang Yandong

Methods and systems are disclosed including an imaging system comprising an image-capturing system having two or more image-capturing devices and positioned on a platform over a predefined target area at a first altitude above the Earth, the image-capturing devices configured to capture a set of images depicting contiguous, substantially contiguous, or partially overlapping geographic coverage sub-areas within the predefined target area, the image-capturing devices having variable focal lengths and variable fields of view; and a computer system selectively adjusting the orientation of the field of view of at least one of the image-capturing devices based at least in part on a change in the focal length of the image-capturing device(s).

Variable focal length multi-camera aerial imaging system and method

Methods and systems for navigating unmanned aircraft to capture images a consistent distance from a surface of a structure, such as a roof, are disclosed, including a system comprising a computer system having one or more processors and one or more non-transitory computer readable medium, the processor(s) executing instructions to cause the one or more processors to: generate unmanned aircraft information including flight path information for capturing images of a roof section having a plane, the flight path information configured to direct an unmanned aircraft to fly a flight path based at least in part on a pitch of the roof section and information from one or more sensor indicative of a location of the roof section, the flight path configured to include waypoints at which the unmanned aircraft captures images at a consistent distance from the plane of the roof section.

Navigating unmanned aircraft using pitch

Systems and methods are disclosed for creating a mosaic image of two or more geo-referenced source images, the geo-referenced source images having the same orientation, based on a ground confidence map created by analyzing pixels of one or more of the geo-referenced source images, the ground confidence map having values and data indicative of particular geographic locations represented by the values, at least one of the values indicative of a statistical probability that the particular geographic locations represented by the values represents the ground; and using routes for steering mosaic cut lines based at least in part on the values indicative of the statistical probability that the particular geographic locations represented by the values represents the ground of the ground confidence map, such that the routes have an increased statistical probability of cutting through pixels representative of the ground versus routes not based on the ground confidence map.

Cut-line steering methods for forming a mosaic image of a geographical area

Image capture systems are disclosed, including an image capture system, comprising: an image capture device mounted on a moving platform, the image capture device having a sensor for capturing an aerial image having pixels; and a detection computer executing an abnormality detection algorithm for detecting an abnormality in the pixels of the aerial image immediately after the aerial image is captured by scanning the aerial image utilizing predetermined parameters indicative of characteristics of the abnormality and then automatically scheduling a re-shoot of the aerial image such that the re-shoot occurs prior to landing of the moving platform, wherein the abnormality detection algorithm causes the detection computer to scan the aerial image using pattern recognition techniques to detect the abnormality in the pixels of the aerial image.

System for detecting image abnormalities

Systems and methods are disclosed including a moving platform system suitable for mounting and use on a moving platform for communicating in real-time, comprising: a position system monitoring location of the moving platform and generating a sequence of time-based position data; a non-line of sight communication system; a high-speed line of sight communication system; and a computer system monitoring an availability of the non-line of sight communication system and the high-speed line of sight communication system and initiating connections when the non-line of sight communication system and the high-speed line of sight communication system are available, and receiving the sequence of time-based position data and transmitting the sequence of time-based position data via the at least one of the currently available non-line of sight communication system and the high-speed line of sight communication system.

Real-time moving platform management system

Automated methods and systems for feature extraction are disclosed, including automated methods performed by at least one processor running computer executable instructions stored on at least one non-transitory computer readable medium, comprising determining and isolating an object of interest within a point cloud; forming a modified point cloud having one or more data points with first location coordinates of the object of interest; and generating a boundary outline having second location coordinates of the object of interest using spectral analysis of at least one section of at least one image identified with the first location coordinates and depicting the object of interest.

Automated system and methodology for feature extraction

Image capture systems including a moving platform; an image capture device having a sensor for capturing an image, the image having pixels, mounted on the moving platform; and a detection computer executing an abnormality detection algorithm for detecting an abnormality in the pixels of the image immediately after the image is captured by scanning the image utilizing predetermined parameters indicative of characteristics of the abnormality and then automatically and immediately causing a re-shoot of the image.

Image processing systems and methods are disclosed, including an image processing system comprising a computer running image processing software causing the computer to: divide an oblique aerial image into a plurality of sections, choose reference aerial image(s), having a consistent color distribution, for a first section and a second section; create a color-balancing transformation for the first and second sections of the oblique aerial image such that the first color distribution of the first section matches the consistent color distribution of the chosen reference aerial image and the second color distribution of the second section matches the consistent color distribution of the chosen reference aerial image; color-balance pixel(s) in the first and section sections of the oblique aerial image, such that at least one color-balancing transformation of the first and second sections matches the consistent color distribution of the reference aerial image(s).

System and process for color-balancing a series of oblique images

Systems and methods for creating oblique-mosaic image(s) for geographical area(s) are disclosed, including a computer system running software that when executed causes the system to create a mathematical model of a sensor of a virtual camera having an elevation greater than an elevation of a desired geographical area to be imaged, the mathematical model having an oblique-mosaic pixel map; determine surface locations for pixels included in the oblique-mosaic pixel map; select source oblique images of the surface locations of the pixels captured at an oblique angle and compass direction similar to an oblique angle and compass direction of the virtual camera; and reproject source oblique image pixels for pixels included in the oblique-mosaic pixel map such that reprojected pixels have differing sizes determined by matching projections from the virtual camera so as to present an oblique appearance, and thereby create the oblique-mosaic image of the desired geographical area.

Mosaic oblique images and systems and methods of making and using same

Systems and methods are disclosed including a computerized system, comprising: a computer system running image display and analysis software that when executed by the computer system causes the computer system to: display an oblique image; reference positional data for the oblique image; create a ground plane for the oblique image, the ground plane comprising a plurality of facets, the facets conforming to a topography of an area captured within the oblique image; receive a selection of at least two pixels within the oblique image; and calculate a desired measurement using the selection of the at least two pixels and the ground plane, the desired measurement taking into account changes within the topography of the area captured within the oblique image.

Method and apparatus for capturing, geolocating and measuring oblique images

A method for creating image products includes the following steps. Image data and positional data corresponding to the image data are captured and processed to create geo-referenced images. Edge detection procedures are performed on the geo-referenced images to identify edges and produce geo-referenced, edge-detected images. The geo-referenced, edge-detected images are saved in a database. A user interface to view and interact with the geo-referenced image is also provided such that the user can consistently select the same Points of Interest between multiple interactions and multiple users.

Growing community of inventors

Honeoye Falls, NY, United States of America

Frank Giuffrida