AROSICS: An Automated and Robust Open-Source Image Co-Registration Software for Multi-Sensor Satellite Data

Author： Scheffler Daniel   Hollstein André   Diedrich Hannes   Segl Karl   Hostert Patrick  

Publisher： MDPI

E-ISSN： 2072-4292|9|7|676-676

ISSN： 2072-4292

Source： Remote Sensing, Vol.9, Iss.7, 2017-07, pp. : 676-676

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

An Open-Source Semi-Automated Processing Chain for Urban Object-Based Classification

By Grippa Taïs   Lennert Moritz   Beaumont Benjamin   Vanhuysse Sabine   Stephenne Nathalie   Wolff Eléonore  

Remote Sensing, Vol. 9, Iss. 4, 2017-04 ,pp. : 358-358

MDPI

Access to resources Recommend Favorite

Reproducibility and Practical Adoption of GEOBIA with Open-Source Software in Docker Containers

By Knoth Christian   Nüst Daniel  

Remote Sensing, Vol. 9, Iss. 3, 2017-03 ,pp. : 290-290

MDPI

Access to resources Recommend Favorite

A Machine Learning Method for Co-Registration and Individual Tree Matching of Forest Inventory and Airborne Laser Scanning Data

By Lamprecht Sebastian   Hill Andreas   Stoffels Johannes   Udelhoven Thomas  

Remote Sensing, Vol. 9, Iss. 5, 2017-05 ,pp. : 505-505

MDPI

Access to resources Recommend Favorite

Integration of multi-sensor data for landscape modeling using a region-based approach

By Schiewe J.  

ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 57, Iss. 5, 2003-04 ,pp. : 371-379

Elsevier

Access to resources Recommend Favorite

Erratum: A Machine Learning Method for Co-Registration and Individual Tree Matching of Forest Inventory and Airborne Laser Scanning Data. Remote Sens. 2017, 9, 505

By Lamprecht Sebastian   Hill Andreas   Stoffels Johannes   Udelhoven Thomas  

Remote Sensing, Vol. 9, Iss. 7, 2017-07 ,pp. : 692-692

MDPI

Access to resources Recommend Favorite