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Peer-reviewed Article
In Remote Sensing
Author:
Shahab
Jozdani
Dongmei
Chen
With the advent of high-spatial resolution (HSR) satellite imagery, urban land use/land cover (LULC) mapping has become one of the most popular applications in remote sensing. Due to the importance of context information (e.g., size/shape/texture) for classifying urban LULC features, Geographic Object-Based Image Analysis (GEOBIA) techniques are...
Peer-reviewed Article
In Remote Sensing
Author:
Stefanos
Georganos
Tais
Grippa
Moritz
Lennert
Eléonore
Wolff
To classify Very-High-Resolution (VHR) imagery, Geographic Object Based Image Analysis (GEOBIA) is the most popular method used to produce high quality Land-Use/Land-Cover maps. A crucial step in GEOBIA is the appropriate parametrization of the segmentation algorithm prior to the classification. However, little effort has been made to automatically...