Contextually guided very-high-resolution imagery classification with semantic segments
Published in ISPRS Journal of Photogrammetry and Remote Sensing, 2017
Recommended citation: Wenzhi Zhao, et al. (2017). "Contextually guided very-high-resolution imagery classification with semantic segments." ISPRS Journal of Photogrammetry and Remote Sensing. 132. https://www.sciencedirect.com/science/article/pii/S0924271617300709
Contextual information, revealing relationships and dependencies between image objects, is one of the most important information for the successful interpretation of very-high-resolution (VHR) remote sensing imagery. Over the last decade, geographic object-based image analysis (GEOBIA) technique has been widely used to first divide images into homogeneous parts, and then to assign semantic labels according to the properties of image segments.
Recommended citation: Wenzhi Zhao, et al. (2017). “Contextually guided very-high-resolution imagery classification with semantic segments” ISPRS Journal of Photogrammetry and Remote Sensing. 132.