TY - JOUR
AU - Wu, Changshan
AB - AbstractThis paper reviewed major remote sensing image classification techniques, including pixel-wise, sub-pixel-wise, and object-based image classification methods, and highlighted the importance of incorporating spatio-contextual information in remote sensing image classification. Further, this paper grouped spatio-contextual analysis techniques into three major categories, including 1) texture extraction, 2) Markov random fields (MRFs) modeling, and 3) image segmentation and object-based image analysis. Finally, this paper argued the necessity of developing geographic information analysis models for spatial-contextual classifications using two case studies.
TI - A Review of Remote Sensing Image Classification Techniques: the Role of Spatio-contextual Information
JF - European Journal of Remote Sensing
DO - 10.5721/EuJRS20144723
DA - 2014-01-01
UR - https://www.deepdyve.com/lp/taylor-francis/a-review-of-remote-sensing-image-classification-techniques-the-role-of-8TV0cMLOFH
SP - 389
EP - 411
VL - 47
IS - 1
DP - DeepDyve
ER -