Automatic Object-Oriented, Spectral-Spatial Feature Extraction Driven by Tobler’s First Law of Geography for Very High Resolution Aerial Imagery Classification

• Published in: Remote sensing (Basel, Switzerland) Vol. 9; no. 3; p. 285
• Main Authors: Lv, Zhiyong, Zhang, Penglin, Atli Benediktsson, Jón
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.03.2017
• Subjects: Classification; Data processing; Feature extraction; Geography; High resolution; Image classification; Image processing; Image resolution; Image segmentation; Object recognition; Spatial resolution; spatial-spectral feature; Spectra; Tobler’s First Law of Geography; very high spatial resolution image

Aerial image classification has become popular and has attracted extensive research efforts in recent decades. The main challenge lies in its very high spatial resolution but relatively insufficient spectral information. To this end, spatial-spectral feature extraction is a popular strategy for clas...