We use cookies

We use cookies on our website. Some of them are essential while others help us improve this website and your experience.

Essential
 
DIGITAL

Scientific publication

Agricultural Field Border Line Retrieval Using Optical and SAR Imagery

Publication from Digital

Roland Perko and Hannes Raggam and Karlheinz Gutjahr, Mathias Schardt

Advances in Geosciences, EARSEL , 1/2012

Abstract:

This work introduces a workflow to retrieve agricultural field border lines from remote sensing images in a fully automatic manner. The methodology builds upon the joint usage of optical and SAR images and is composed of three main processing blocks: (1) Pre-processing of image data including a geometric adjustment of the optical images w.r.t. the highly accurate SAR data, (2) Field border line extraction based on a novel definition of stable features and a custom-tailored segmentation algorithm. (3) A feature-based matching principle that aligns the field border lines to a reference GIS dataset. The proposed framework is evaluated on TerraSAR-X (SAR) and optical RapidEye imagery,
 yielding sufficiently accurate agricultural field border lines.