Computational intelligence in optical remote sensing image processing

• Published in: Applied soft computing Vol. 64; pp. 75 - 93
• Main Authors: Zhong, Yanfei, Ma, Ailong, Ong, Yew soon, Zhu, Zexuan, Zhang, Liangpei
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.03.2018
• Subjects: Computational intelligence; Evolutionary algorithm; Optical remote sensing image processing; Evolutionary algorithm; Optical remote sensing image processing; Computational intelligence
• ISSN: 1568-4946; 1872-9681
• DOI: 10.1016/j.asoc.2017.11.045

The general workflow of optical remote sensing image processing. [Display omitted] •We review the computational intelligence in optical remote sensing image processing.•Feature representation and selection based on computational intelligence are reviewed.•Classification using in evolutional computation and neural networks are reviewed.•Change detection based on computational intelligence are reviewed.•The core potentials of computational intelligence for optical remote sensing image processing are discussed. With the ongoing development of Earth observation techniques, huge amounts of remote sensing images with a high spectral-spatial-temporal resolution are now available, and have been successfully applied in a variety of fields. In the process, they bring about great challenges, such as high-dimensional datasets (the high spatial resolution and hyperspectral features), complex data structures (nonlinear and overlapping distributions), and the nonlinear optimization problem (high computational complexity). Computational intelligence techniques, which are inspired by biological systems, can provide possible solutions to the above-mentioned problems. In this paper, we provide an overview of the application of computational intelligence technologies in optical remote sensing image processing, including: 1) feature representation and selection; 2) classification and clustering; and 3) change detection. Subsequently, the core potentials of computational intelligence for optical remote sensing image processing are delineated and discussed.