Details

Autor(en) / Beteiligte

• Li, Peng Li
• Li, Jia Chun
• Ti, Wei Ping

Titel

Multi-Scale Classification Based on Remote Sensing

Ist Teil von

• Applied Mechanics and Materials, 2014-07, Vol.580-583, p.2853-2859

Ort / Verlag

Zurich: Trans Tech Publications Ltd

Erscheinungsjahr

2014

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Due to the broadly application of remote sensing imagery, there is an eager need for the classification of objects in the images. The multi-scale classification based on object oriented analysis is not a usual approach for image classification because the users of multi-scale classification do not know how to use the information from multiple scales to do multi-scale classification. Many users rely on some easily accessible tools. nearest neighbour classifier, to do multi-scale classification. The multi-scale classification classifies the images from different scales. The feature values of the object vary from different scales and they may have some trends against scales. These trends may help us to understand multi-scale classification better. This is the scale dependency of features. The difference between multi-scale classification and single-scale classification is not only multiple scales, but also the use of information from different scales. In order to explore the connection between different scales, the research of new features is necessary.