4 October 2017 Increasing the UAV data value by an OBIA methodology
Author Affiliations +
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
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Angel García-Pedrero, Angel García-Pedrero, Mario Lillo-Saavedra, Mario Lillo-Saavedra, Dionisio Rodriguez-Esparragon, Dionisio Rodriguez-Esparragon, Alejandro Rodriguez-Gonzalez, Alejandro Rodriguez-Gonzalez, Consuelo Gonzalo-Martin, 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); doi: 10.1117/12.2277891; https://doi.org/10.1117/12.2277891
PROCEEDINGS
8 PAGES + PRESENTATION

SHARE
Back to Top