التفاصيل البيبلوغرافية
| العنوان: |
High Resolution Urban Image Classification Combining Edge Statistical Features |
| المؤلفون: |
Zhao, Wenzhi, Du, Shihong, Guo, Zhou |
| المساهمون: |
Zhao, WZ (reprint author), Peking Univ, Inst GIS & Remote Sensing, Beijing, Peoples R China., Peking Univ, Inst GIS & Remote Sensing, Beijing, Peoples R China. |
| المصدر: |
SCI |
| بيانات النشر: |
23rd International Conference on Geoinformatics (Geoinformatics) |
| سنة النشر: |
2015 |
| المجموعة: |
Peking University Institutional Repository (PKU IR) / 北京大学机构知识库 |
| مصطلحات موضوعية: |
edge statistics, urban classification, very high resolution image, LAND-COVER CLASSIFICATION, REMOTE-SENSING DATA, MULTISPECTRAL DATA, AREAS |
| الوصف: |
Classification with very high resolution (VHR) urban images is challenging because of the great variations of spectrums of pixels inside objects. Plenty of structural information can be obtained over edge statistics. A methodology for incorporating image edge statistical information into conventional classification algorithms is described. The technique is built on the statistical information of edges which are generated by edge statistical model. This method has been tested on a selected site of Worldview-II data which covers north-west part of Beijing, China. Nine land-cover types have been classified to evaluate the effectiveness of edge-based features for urban image classification. The overall classification accuracy is 82.7% and 89.3% for pixel-based and object-based method for incorporating edge statistical features, respectively. ; CPCI-S(ISTP) ; wmxiaozhi@pku.edu.cn |
| نوع الوثيقة: |
conference object |
| اللغة: |
English |
| تدمد: |
2161-024X |
| Relation: |
23rd International Conference on Geoinformatics (Geoinformatics).2015.; 1485095; http://hdl.handle.net/20.500.11897/450156; WOS:000381472200042 |
| الاتاحة: |
https://hdl.handle.net/20.500.11897/450156 |
| رقم الانضمام: |
edsbas.B147F4DC |
| قاعدة البيانات: |
BASE |