Chen, J., Sahli, H., Chen, J., Chengyin, W., He, D., & Yue, A. (2016). A hybrid land-use mapping approach based on multi-scale spatial context. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016 (pp. 771-774). IEEE.

@inproceedings{a3922e792cc441f880ad2370841a2c13,
title = "A hybrid land-use mapping approach based on multi-scale spatial context",
abstract = "Multi-scale spatial context which integrates spatial metrics and textural metrics is used to characterize land-use parcel and a hybrid land-use mapping approach is proposed in this paper. In terms of land-use characterization, the contributions of textural and spatial metrics are evaluated quantitatively. In terms of land-use categorization, a hybrid land-use classification scheme which combines Pairwise Decision Tree based Support Vector Machine (PDTSVM) and rule based decision tree is designed to classify parcels into construction, cultivated and uncultivated agricultural parcels. Experiment show that applying the presented technique can facilitate land-use mapping.",
keywords = "remote sensing, Classification, decsion trees",
author = "Jingbo Chen and Hichem Sahli and Jiansheng Chen and Wang Chengyin and Dongxu He and Anzhi Yue",
year = "2016",
language = "English",
pages = "771--774",
booktitle = "IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016",
publisher = "IEEE",
note = "IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 ; Conference date: 10-07-2016 Through 15-07-2016",
url = "http://www.igarss2016.org/",
}