Increasing the UAV data value by an OBIA methodology

Angel García-Pedrero; Mario Lillo-Saavedra; Dionisio Rodriguez-Esparragon; Alejandro Rodriguez-Gonzalez; Consuelo Gonzalo-Martin

doi:10.1117/12.2277891

4 October 2017 Increasing the UAV data value by an OBIA methodology

Angel García-Pedrero, Mario Lillo-Saavedra, Dionisio Rodriguez-Esparragon, Alejandro Rodriguez-Gonzalez, Consuelo Gonzalo-Martin

Author Affiliations +

Proceedings Volume 10427, Image and Signal Processing for Remote Sensing XXIII; 104270U (2017) https://doi.org/10.1117/12.2277891
Event: SPIE Remote Sensing, 2017, Warsaw, Poland

Abstract

Recently, there has been a noteworthy increment of using images registered by unmanned aerial vehicles (UAV) in different remote sensing applications. Sensors boarded on UAVs has lower operational costs and complexity than other remote sensing platforms, quicker turnaround times as well as higher spatial resolution. Concerning this last aspect, particular attention has to be paid on the limitations of classical algorithms based on pixels when they are applied to high resolution images. The objective of this study is to investigate the capability of an OBIA methodology developed for the automatic generation of a digital terrain model of an agricultural area from Digital Elevation Model (DEM) and multispectral images registered by a Parrot Sequoia multispectral sensor board on a eBee SQ agricultural drone. The proposed methodology uses a superpixel approach for obtaining context and elevation information used for merging superpixels and at the same time eliminating objects such as trees in order to generate a Digital Terrain Model (DTM) of the analyzed area. Obtained results show the potential of the approach, in terms of accuracy, when it is compared with a DTM generated by manually eliminating objects.

Conference Presentation

Citation Download Citation

Angel García-Pedrero, Mario Lillo-Saavedra, Dionisio Rodriguez-Esparragon, Alejandro Rodriguez-Gonzalez, and Consuelo Gonzalo-Martin "Increasing the UAV data value by an OBIA methodology", Proc. SPIE 10427, Image and Signal Processing for Remote Sensing XXIII, 104270U (4 October 2017); https://doi.org/10.1117/12.2277891

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available