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

• US 10,424,047 B2
• Filed: 02/15/2018
• Issued: 09/24/2019
• Est. Priority Date: 08/05/2008
• Status: Active Grant

• Current Assignee: Pictometry International Corporation (Eagleview Technologies, Inc. /Wa/)
• Original Assignee: Pictometry International Corporation (Eagleview Technologies, Inc. /Wa/)
• Inventors: Giuffrida, Frank, Schultz, Stephen, Gray, Robert, Bradacs, Robert
• Primary Examiner(s): Maung, Nay A
• Assistant Examiner(s): Torres, Jose
• Application Number:
  US15/897,997
• Publication Number:
  US 20180174272A1
• Time in Patent Office: 586 Days
• CPC Class Codes: G01C 11/02 Picture taking arrangements specially adapted for photogrammetry or photographic surveying, e.g. controlling overlapping of pictures
• CPC Class Codes: G06T 11/60 Editing figures and text; Combining figures or text
• CPC Class Codes: G06T 2207/10016 Video; Image sequence
• CPC Class Codes: G06T 2207/10032 Satellite or aerial image; Remote sensing
• CPC Class Codes: G06T 2207/30184 Infrastructure
• CPC Class Codes: G06T 3/4038 Image mosaicing, e.g. composing plane images from plane sub-images
• CPC Class Codes: G06T 7/12 Edge-based segmentation

Abstract

Systems and methods for creating a ground confidence map of a geographic area, comprising the steps of creating a ground confidence map of a geographic area, the ground confidence map having a plurality of pixels with each pixel corresponding to a particular geographic location; assigning the pixels in the ground confidence map with pixel values indicative of composite ground confidence scores; and storing pixel values indicative of a statistical probability that the geographical location represented by the particular pixels represent the ground.

Claims

1. An apparatus for analyzing pixels in one or more geo-referenced source images, comprising:

one or more non-transitory computer readable medium storing image processing software that when executed perform functions of;

creating a ground confidence map by analyzing pixels of one or more 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

determining preferred routes for steering mosaic cut lines for one or more mosaic image of two or more of the geo-referenced source images 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 preferred routes have an increased statistical probability of cutting through pixels representative of the ground versus routes not based on the ground confidence map.

2. The apparatus of claim 1, wherein the ground confidence map is an image file.

3. The apparatus of claim 1, wherein the ground confidence map has a plurality of pixels with each pixel corresponding to a particular geographic location.

4. The apparatus of claim 1, wherein the one or more geo-referenced source images include one or more oblique images.

5. The apparatus of claim 1, wherein the one or more geo-referenced source images include one or more nadir images.

6. The apparatus of claim 1, wherein the one or more geo-referenced source images include a first image captured from a first vantage point and a second image captured from a second vantage point different than the first vantage point.

7. The apparatus of claim 1, wherein the one or more geo-referenced source images include one or more captured image.

8. The apparatus of claim 1, wherein the one or more geo-referenced source images include one or more projected image.

9. The apparatus of claim 1, wherein the one or more geo-referenced source images include one or more input mosaic image.

10. A method for analyzing pixels in one or more geo-referenced source images, comprising:

creating a ground confidence map by analyzing pixels of one or more 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

determining preferred routes for steering mosaic cut lines for one or more mosaic image of two or more of the geo-referenced source images 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 preferred routes have an increased statistical probability of cutting through pixels representative of the ground versus routes not based on the ground confidence map.

11. The method of claim 10, wherein the ground confidence map is an image file.

12. The method of claim 10, wherein the ground confidence map has a plurality of pixels with each pixel corresponding to a particular geographic location.

13. The method of claim 10, wherein the one or more geo-referenced source images include one or more oblique images.

14. The method of claim 10, wherein the one or more geo-referenced source images include one or more nadir images.

15. The method of claim 10, wherein the one or more geo-referenced source images include a first image captured from a first vantage point and a second image captured from a second vantage point different than the first vantage point.

16. The method of claim 10, wherein the one or more geo-referenced source images include one or more captured image.

17. The method of claim 10, wherein the one or more geo-referenced source images include one or more projected image.

18. The method of claim 10, wherein the one or more geo-referenced source images include one or more input mosaic image.