1. ERDC Knowledge Core
  2. Engineer Research and Development Center (ERDC)
  3. Geospatial Research Laboratory (GRL) (formerly Topographic Engineering Center (TEC))
  4. Publication
  5. Technical Report
Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/4802
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBrown, Roger O.-
dc.date.accessioned2016-03-17T15:14:18Z-
dc.date.available2016-03-17T15:14:18Z-
dc.date.issued2014-08-
dc.identifier.urihttp://hdl.handle.net/11681/4802-
dc.descriptionTechnical Report-
dc.descriptionAbstract: Orthoimages are used to produce image-map products for navigation and planning, and serve as source data for advanced research, development, testing, and evaluation of feature extraction methods. This tutorial describes procedures for making orthoimages from Light Detection and Ranging (LiDAR) Digital Elevation Models (DEM) and from commercial satellite Multi-Spectral Imagery (MSI) in the National Imagery Transmission Format (NITF) with Rational Polynomial Coefficients (RPC). Orthoimages rectify digital imagery to remove geometric distortions caused by the varying elevations of the exposed terrain features, and by exterior and interior orientations of the sensor. When orthoimages are combined, the resulting mosaic covers a wider area and contains less visible seams, which makes the map easier to understand. RPC replace the actual sensor model while processing the original MSI. This generic replacement sensor model is provided with the distributed imagery to simplify the process of removing the geometric distortions so image processing software can create orthoimages without using the actual sensor model, which is often not provided. The DEM and MSI also become better registered together after producing the orthoimage by using the RPC. This assists feature extraction and segmentation when the DEM is added as extra data bands to the MSI.-
dc.publisherGeospatial Research Laboratory (U.S.)-
dc.publisherEngineer Research and Development Center (U.S.)-
dc.relationhttp://acwc.sdp.sirsi.net/client/en_US/search/asset/1036585-
dc.relation.ispartofseriesERDC/GRL TR ; 14-1.-
dc.rightsApproved for public release; distribution is unlimited.-
dc.sourceThis Digital Resource was created in Microsoft Word and Adobe Acrobat-
dc.subjectLiDAR-
dc.subjectSatellite imaging-
dc.subjectSatellite images-
dc.subjectAerial imagery-
dc.subjectOrthoimages-
dc.subjectRemote sensing-
dc.subjectDigital Elevation Models-
dc.subjectMulti-Spectral Imagery-
dc.titleCreating Orthographically Rectified Satellite Multi-Spectral Imagery with High Resolution Digital Elevation Model from LiDAR : A Tutorial-
dc.typeReporten_US
Appears in Collections:Technical Report

Files in This Item:
File Description SizeFormat 
ERDC-GRL-TR-14-1.pdf7.55 MBAdobe PDFThumbnail
View/Open
Show simple item record