Title: Guidelines for Best Practice and Quality Checking of Ortho Imagery
Authors: KAPNIAS DimitrisMILENOV PavelKAY Simon
Publisher: OPOCE
Publication Year: 2008
JRC Publication N°: JRC48904
ISBN: 978-92-79-10969-0
ISSN: 1018-5593
Other Identifiers: EUR 23638 EN
OPOCE LB-NA-23638-EN-C
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC48904
DOI: 10.2788/36028
Type: EUR - Scientific and Technical Research Reports
Abstract: For almost 10 years JRC's ¿Guidelines for Best Practice and Quality Control of Ortho Imagery¿ has served as a reference document for the production of orthoimagery not only for the purposes of CAP but also for many medium-to-large scale photogrammetric applications. The aim is to provide the European Commission and the remote sensing user community with a general framework of the best approaches for quality checking of orthorectified remotely sensed imagery, and the expected best practice, required to achieve good results. Since the last major revision (2003) the document was regularly updated in order to include state-of-the-art technologies. The major revision of the document was initiated last year in order to consolidate the information that was introduced to the document in the last five years. Following the internal discussion and the outcomes of the meeting with an expert panel it was decided to adopt as possible a process-based structure instead of a more sensor-based used before and also to keep the document as much generic as possible by focusing on the core aspects of the photogrammetric process. Additionally to any structural changes in the document new information was introduced mainly concerned with image resolution and radiometry, digital airborne sensors, data fusion, mosaicking and data compression. The Guidelines of best practice is used as the base for our work on the definition of technical specifications for the orthoimagery. The scope is to establish a core set of measures to ensure sufficient image quality for the purposes of CAP and particularly for the Land Parcel Identification System (PLIS), and also to define the set of metadata necessary for data documentation and overall job tracking.
JRC Institute:Institute for the Protection and Security of the Citizen

Files in This Item:
File Description SizeFormat 
10133.pdf967.04 kBAdobe PDFView/Open


Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.