Zhang, Z.; Yang, M. Y.; Zhou, M.: Multi-source multi-scale hierarchical conditional random field model for remote sensing image classification. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences II-3 (2015), Nr. W4, S. 293-300. DOI: https://doi.org/10.5194/isprsannals-II-3-W4-293-2015
Abstract: | |
Fusion of remote sensing images and LiDAR data provides complimentary information for the remote sensing applications, such as object classification and recognition. In this paper, we propose a novel multi-source multi-scale hierarchical conditional random field (MSMSH-CRF) model to integrate features extracted from remote sensing images and LiDAR point cloud data for image classification. MSMSH-CRF model is then constructed to exploit the features, category compatibility of multi-scale images and the category consistency of multi-source data based on the regions. The output of the model represents the optimal results of the image classification. We have evaluated the precision and robustness of the proposed method on airborne data, which shows that the proposed method outperforms standard CRF method. | |
License of this version: | CC BY 3.0 Unported |
Document Type: | Article |
Publishing status: | publishedVersion |
Issue Date: | 2015 |
Appears in Collections: | Fakultät für Elektrotechnik und Informatik |
pos. | country | downloads | ||
---|---|---|---|---|
total | perc. | |||
1 | Germany | 126 | 63.96% | |
2 | United States | 25 | 12.69% | |
3 | China | 22 | 11.17% | |
4 | Hong Kong | 5 | 2.54% | |
5 | Korea, Republic of | 3 | 1.52% | |
6 | No geo information available | 2 | 1.02% | |
7 | Indonesia | 2 | 1.02% | |
8 | Estonia | 2 | 1.02% | |
9 | Latvia | 1 | 0.51% | |
10 | Austria | 1 | 0.51% | |
other countries | 8 | 4.06% |
Hinweis
Zur Erhebung der Downloadstatistiken kommen entsprechend dem „COUNTER Code of Practice for e-Resources“ international anerkannte Regeln und Normen zur Anwendung. COUNTER ist eine internationale Non-Profit-Organisation, in der Bibliotheksverbände, Datenbankanbieter und Verlage gemeinsam an Standards zur Erhebung, Speicherung und Verarbeitung von Nutzungsdaten elektronischer Ressourcen arbeiten, welche so Objektivität und Vergleichbarkeit gewährleisten sollen. Es werden hierbei ausschließlich Zugriffe auf die entsprechenden Volltexte ausgewertet, keine Aufrufe der Website an sich.