Thông tin tài liệu
Thông tin siêu dữ liệu biểu ghi
Trường DC | Giá trị | Ngôn ngữ |
---|---|---|
dc.contributor.author | Djerriri, K. | |
dc.date.accessioned | 2020-02-18T02:28:25Z | - |
dc.date.available | 2020-02-18T02:28:25Z | - |
dc.date.issued | 2016 | |
dc.identifier.citation | In: GEOBIA 2016 : Solutions and Synergies., 14 September 2016 - 16 September 2016, University of Twente Faculty of Geo-Information and Earth Observation (ITC) . | |
dc.identifier.uri | http://tailieuso.tlu.edu.vn/handle/DHTL/4860 | - |
dc.description.abstract | This paper evaluates the capability of a recently proposed method named multiband compact texture unit. This method extracts texture by characterizing simultaneously spatial relationship in the same band and across the different bands. This evaluation is performed in the context of object-based classification paradigm using WorldView-2 image of a forest area. For that image-objects were generated through superpixel segmentation. Classification in the object-feature space is performed suing K nearest neighbor algorithm. The proposed approach is compared to two groups of methods. The first group includes texture methods that use only spatial relationships in the same band: Gabor features wavelets and Granulometry. The second group includes methods that use intra-band and inter-band spatial relationships: integrative gray-level co-occurrence matrix, opponent Gabor features and opponent local binary patterns. Experimental results show that texture extracted using both intra-band and inter-band spatial relationship improves the classification accuracy compared to when it is extracted in each spectral band independently. Among the methods of the second group that use both intra-band and inter-band spatial relationships, the multiband compact texture unit method produces the best results. | |
dc.description.uri | https://proceedings.utwente.nl/432/1/Djerriri-Object-Based%20VHSR%20Image%20Classification%20Using%20Multiband%20Compact%20Texture%20Unit%20Descriptor-131.pdf | |
dc.language | eng | |
dc.subject | Multiband Compact Texture Unit | |
dc.subject | Object-based Image Analysis | |
dc.subject | Multispectral images | |
dc.title | Object-based VHSR image classification using multiband compact texture unit descriptor | |
dc.type | BB | |
dc.date.update | 20190105145734.0 | |
dc.date.submitte | 130605s2016 | |
Trong bộ sưu tập: | Tài liệu mở |
Danh sách tệp tin đính kèm:
Hiện tại không có tệp tin đính kèm tới tài liệu.
Bạn đọc là cán bộ, giáo viên, sinh viên của Trường Đại học Thuỷ Lợi cần đăng nhập để Xem trực tuyến/Tải về
Khi sử dụng tài liệu trong thư viện số bạn đọc phải tuân thủ đầy đủ luật bản quyền.