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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yan Xu Fuzhou Duan |
| Copyright Year | 2013 |
| Description | Author affiliation: Key Lab. of Resources Environ. & GIS of Beijing Municipal, Capital Normal Univ., Beijing, China (Fuzhou Duan) || Key Lab. of 3D Inf. Acquisition & Applic. of Minist. of Educ., Capital Normal Univ., Beijing, China (Yan Xu) |
| Abstract | Low-altitude aerial remote sensing platforms accessed reality multi-color images which had obvious characteristics and fitted for visual interpretation. These images were lacking of spectral information but rich in shape and texture information. But, the reality was that there was less study on the automatic extraction of ground information from aerial images. In this paper, UAV images were selected as test data. By combining the object oriented method and the multi-resolution segmentation, the paper selected some effective characteristics, constructed the rule sets and classify the image into water, shrub, farmland, road, and house. Then, the result was compared with which obtained by maximum likelihood classification method. The results showed that: With the object-oriented method, it could get higher accuracies and efficiencies for actual applications, the overall classification accuracies and Kappa coefficient are more than 85%. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 562108 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467362283 |
| ISSN | 2161024X |
| DOI | 10.1109/Geoinformatics.2013.6626201 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Multi-resolution segmentation Accuracy Unmanned aerial vehicle (UAV) Shape Object-oriented classification IHS transformation Feature extraction Rule set Data mining Spatial resolution Remote sensing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Geography, Planning and Development Computer Networks and Communications Information Systems Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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