Name
Title | ||
|---|---|---|
Urban Ecological Land Extraction From Chinese Gaofen-1 Data Using Object-Oriented Classification Techniques |
Abstract | ||
|---|---|---|
The urbanization process changed the urban ecological land and consequently affected the quality of urban residents' environment, and it was very important to obtain urban ecological land cover information. In this paper, an object-oriented method was proposed to extract urban ecological land cover from the multiple-channel images acquired by Chinese Gaofen-1 (GF-1) satellite. Taking Beijing City as an example, five ecological land covers, including water, vegetation, road, building land and bare land, were classified using new classification rules based on the spectral, geometry and texture information in the GF-1 image. The result showed that the urban land covers were accurately identified and its validation accuracy was up to 90%. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | Gaofen-1, Urban ecological land, Multiscale segmentation, Object-oriented classification |
Field | DocType | ISSN |
Ecology,Urbanization,Vegetation,Satellite,Land information system,Object-oriented programming,Computer science,Remote sensing,Image segmentation,Land cover,Beijing | Conference | 2153-6996 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jinjie Meng | 1 | 20 | 2.78 |
| Huazhong Ren | 2 | 73 | 23.56 |
| Qi-ming Qin | 3 | 158 | 49.12 |
| Chen Du | 4 | 19 | 2.06 |
| Jianhua Wang | 5 | 3 | 2.77 |
| Lian He | 6 | 105 | 4.36 |
| Jing Li | 7 | 345 | 53.26 |
| Huawei Wan | 8 | 1 | 2.37 |