Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Ergebnis 7 von 1077048
Remote Sensing Digital Image Analysis
Sixth edition, 2022

Details

Autor(en) / Beteiligte
Titel
Remote Sensing Digital Image Analysis
Auflage
Sixth edition
Ort / Verlag
Cham: Springer International Publishing AG
Erscheinungsjahr
2022
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • Remote Sensing Digital Image Analysis provides a comprehensive treatment of the methods used for the processing and interpretation of remotely sensed image data.  Over the past decade there have been continuing and significant developments in the algorithms used for the analysis of remote sensing imagery, even though many of the fundamentals have substantially remained the same.  As with its predecessors this new edition again presents material that has retained value but also includes newer techniques, covered from the perspective of operational remote sensing.The book is designed as a teaching text for the senior undergraduate and postgraduate student, and as a fundamental treatment for those engaged in research using digital image analysis in remote sensing.  The presentation level is for the mathematical non-specialist.  Since the very great number of operational users of remote sensing come from the earth sciences communities, the text is pitched at a level commensurate with their background.  The chapters progress logically through means for the acquisition of remote sensing images, techniques by which they can be corrected, and methods for their interpretation. The prime focus is on applications of the methods, so that worked examples are included and a set of problems conclude each chapter.
Sprache
Englisch
Identifikatoren
ISBN: 9783030823269, 3030823261
DOI: 10.1007/978-3-030-82327-6
Titel-ID: cdi_askewsholts_vlebooks_9783030823276

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX