CA2660343A1 - Geospatial modeling system for separating foliage data from building data based upon loose and strict tolerance noise filtering operations and related methods - Google Patents
Geospatial modeling system for separating foliage data from building data based upon loose and strict tolerance noise filtering operations and related methods Download PDFInfo
- Publication number
- CA2660343A1 CA2660343A1 CA002660343A CA2660343A CA2660343A1 CA 2660343 A1 CA2660343 A1 CA 2660343A1 CA 002660343 A CA002660343 A CA 002660343A CA 2660343 A CA2660343 A CA 2660343A CA 2660343 A1 CA2660343 A1 CA 2660343A1
- Authority
- CA
- Canada
- Prior art keywords
- building
- data
- foliage
- noise filtering
- filtering operations
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
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Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V11/00—Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
Abstract
A geospatial modeling system (20) may include a geospatial model database (21) and a processor (22). The processor (22) may cooperate with the geospatial model database (21) for extracting ground data from foliage and building data (51), and performing a plurality of noise filtering operations on the foliage and building data comprising a first loose tolerance filtering to determine an inclusive estimate of building locations and a second strict tolerance filtering to reduce false building locations. The processor (22) may also cooperate with the geospatial model database (21) for performing at least one edge recovery operation to compensate for noisy building perimeters, and separating foliage data from the building data based upon the noise filtering operations and the at least one edge recovery operation.
Claims (10)
1. A geospatial modeling system comprising:
a geospatial model database; and a processor cooperating with said geospatial model database for extracting ground data from foliage and building data, performing a plurality of noise filtering operations on the foliage and building data comprising a first loose tolerance filtering to determine an inclusive estimate of building locations and a second strict tolerance filtering to reduce false building locations, performing at least one edge recovery operation to compensate for noisy building perimeters, and separating foliage data from the building data based upon the noise filtering operations and the at least one edge recovery operation.
a geospatial model database; and a processor cooperating with said geospatial model database for extracting ground data from foliage and building data, performing a plurality of noise filtering operations on the foliage and building data comprising a first loose tolerance filtering to determine an inclusive estimate of building locations and a second strict tolerance filtering to reduce false building locations, performing at least one edge recovery operation to compensate for noisy building perimeters, and separating foliage data from the building data based upon the noise filtering operations and the at least one edge recovery operation.
2. The geospatial modeling system of Claim 1 wherein said processor further performs a masking operation based upon the inclusive estimate of the building locations to generate masked building data.
3. The geospatial modeling system of Claim 2 wherein said processor further performs a third filtering based upon the masked building data and the output of the second strict tolerance filtering.
4. The geospatial modeling system of Claim 1 wherein the foliage data and building data each comprises elevations associated with respective location points; and wherein the plurality of noise filtering operations comprise determining a respective center point elevation difference for each location point and based upon a sum of differences between elevations of a given location point and a plurality of neighboring location points.
5. The geospatial modeling system of Claim 4 wherein the plurality of noise filtering operations further comprise determining a respective neighboring points elevation difference for each pair of adjacent location points based upon a sum of differences between elevations of respective center point elevation differences for the adjacent location points.
6. A geospatial modeling method comprising:
extracting ground data from foliage and building data using a processor;
performing a plurality of noise filtering operations on the foliage and building data using the processor comprising a first loose tolerance filtering to determine an inclusive estimate of building locations and a second strict tolerance filtering to reduce false building locations;
performing at least one edge recovery operation to compensate for noisy building perimeters using the processor; and separating foliage data from the building data using the processor based upon the noise filtering operations and the at least one edge recovery operation.
extracting ground data from foliage and building data using a processor;
performing a plurality of noise filtering operations on the foliage and building data using the processor comprising a first loose tolerance filtering to determine an inclusive estimate of building locations and a second strict tolerance filtering to reduce false building locations;
performing at least one edge recovery operation to compensate for noisy building perimeters using the processor; and separating foliage data from the building data using the processor based upon the noise filtering operations and the at least one edge recovery operation.
7. The method of Claim 6 further comprising performing a masking operation using the processor based upon the inclusive estimate of the building locations to generate masked building data.
8. The method of Claim 6 wherein the foliage data and building data each comprises elevations associated with respective location points; and wherein the plurality of noise filtering operations comprise determining a respective center point elevation difference for each location point and based upon a sum of differences between elevations of a given location point and a plurality of neighboring location points.
9. The method of Claim 8 wherein the plurality of noise filtering operations further comprise determining a respective neighboring points elevation difference for each pair of adjacent location points based upon a sum of differences between elevations of respective center point elevation differences for the adjacent location points.
10. The method of Claim 6 wherein the plurality of noise filtering operations further comprise selectively replacing foliage and building data points with nulls based upon at least one sum of differences operation and an elevation difference threshold.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US11/463,427 US7292941B1 (en) | 2006-08-09 | 2006-08-09 | Geospatial modeling system for separating foliage data from building data based upon loose and strict tolerance noise filtering operations and related methods |
| US11/463,427 | 2006-08-09 | ||
| PCT/US2007/075569 WO2008021949A2 (en) | 2006-08-09 | 2007-08-09 | Geospatial modeling system for separating foliage data from building data based upon loose and strict tolerance noise filtering operations and related methods |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CA2660343A1 true CA2660343A1 (en) | 2008-02-21 |
| CA2660343C CA2660343C (en) | 2012-01-03 |
Family
ID=38653477
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CA2660343A Expired - Fee Related CA2660343C (en) | 2006-08-09 | 2007-08-09 | Geospatial modeling system for separating foliage data from building data based upon loose and strict tolerance noise filtering operations and related methods |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US7292941B1 (en) |
| EP (1) | EP2057606A2 (en) |
| JP (1) | JP2010500668A (en) |
| BR (1) | BRPI0714260A2 (en) |
| CA (1) | CA2660343C (en) |
| WO (1) | WO2008021949A2 (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7487046B2 (en) * | 2006-08-09 | 2009-02-03 | Harris Corporation | Geospatial modeling system for performing filtering operations based upon a sum of differences of a given and neighboring location points and related methods |
| US7881913B2 (en) * | 2007-02-12 | 2011-02-01 | Harris Corporation | Exemplar/PDE-based technique to fill null regions and corresponding accuracy assessment |
| US7917346B2 (en) * | 2008-02-19 | 2011-03-29 | Harris Corporation | Geospatial modeling system providing simulated tree trunks and branches for groups of tree crown vegetation points and related methods |
| US8010327B2 (en) * | 2008-04-25 | 2011-08-30 | Total Immersion Software, Inc. | Composite assets for use in multiple simulation environments |
| US20110144962A1 (en) | 2009-12-11 | 2011-06-16 | Harris Corporation | Geospatial modeling system providing enhanced foliage void region inpainting features and related methods |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6597818B2 (en) | 1997-05-09 | 2003-07-22 | Sarnoff Corporation | Method and apparatus for performing geo-spatial registration of imagery |
| US6954498B1 (en) | 2000-10-24 | 2005-10-11 | Objectvideo, Inc. | Interactive video manipulation |
| US6654690B2 (en) | 2001-04-05 | 2003-11-25 | Harris Corporation | Automated method for making a topographical model and related system |
| WO2003012740A1 (en) | 2001-07-31 | 2003-02-13 | Cad Center Corporation | Automatic generating device for 3-d structure shape, automatic generating method, program therefor, and recording medium recording the program |
| US7142984B2 (en) * | 2005-02-08 | 2006-11-28 | Harris Corporation | Method and apparatus for enhancing a digital elevation model (DEM) for topographical modeling |
-
2006
- 2006-08-09 US US11/463,427 patent/US7292941B1/en active Active
-
2007
- 2007-08-09 EP EP07813939A patent/EP2057606A2/en not_active Withdrawn
- 2007-08-09 WO PCT/US2007/075569 patent/WO2008021949A2/en active Application Filing
- 2007-08-09 CA CA2660343A patent/CA2660343C/en not_active Expired - Fee Related
- 2007-08-09 BR BRPI0714260-9A patent/BRPI0714260A2/en not_active Application Discontinuation
- 2007-08-09 JP JP2009523996A patent/JP2010500668A/en not_active Withdrawn
Also Published As
| Publication number | Publication date |
|---|---|
| BRPI0714260A2 (en) | 2013-06-18 |
| JP2010500668A (en) | 2010-01-07 |
| WO2008021949A2 (en) | 2008-02-21 |
| CA2660343C (en) | 2012-01-03 |
| WO2008021949A3 (en) | 2009-05-14 |
| EP2057606A2 (en) | 2009-05-13 |
| US7292941B1 (en) | 2007-11-06 |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| EEER | Examination request | ||
| MKLA | Lapsed |
Effective date: 20140811 |