Technology and Methodology |
|
|
|
|
|
Mode filter and its application to post-processing of remote sensing classification |
DONG Baogen1, CHE Sen2, XIE Longgen1, SHAN Guohui3, HE Qiao1 |
1. 93920 Troops, Hanzhong 723213, China;
2. Institute of Geographic Spatial Information, Information Engineering University, Zhengzhou 450052, China;
3. 95868 Troops, Beijing 100076, China |
|
|
Abstract Classification optimization is a practical subject which deserves exploration. In order to study mode filter and its application to the post-processing of remote sensing classification, the authors, on the basis of detailed analysis of the principle of the nonlinear mode filter and in view of the characteristics of 2D and 3D data, developed various aspects of the filter to make it suitable for the classification of remote sensing data. Taking remote sensing image and airborne LiDAR point clouds as examples, the authors discussed the developed scheme from two respects and four respects, and the nearest neighbor Mode filter and window-based Mode filter were used to improve the classification results of the two types of data, respectively. Contrastive experimental results demonstrate that the developed Mode filters can remove the speckle and salt and pepper noises effectively, reduce greatly the misclassification points derived from point clouds and remote sensing image, and boost the Kappa value and overall accuracy after classification of the two data remarkably, thus achieving the desired goal.
|
Keywords
airborne light detection and ranging(LiDAR)
surface subsidence
landslide
fault
|
|
Issue Date: 14 April 2016
|
|
|
[1] 董保根.机载LiDAR点云与遥感影像融合的地物分类技术研究[D].郑州:信息工程大学,2013. Dong B G.Research on Classification Technologies of Land Cover by Fusing Airborne LiDAR Point Clouds and Remote Sensing Imagery[D].Zhengzhou:Information Engineering University,2013.[2] Premus V E,Ward J,Richmod C D.Mode filtering approaches to acoustic source depth discrimination[C]//Proceedings of Conference Record of the 38th Asilomar Conference of Signals,Systems and Computers.Pacific Grove,CA:IEEE,2004,2:1415-1420.[3] Papp J C,Preisig J C,Morozov A K.Physically constrained maximum likelihood mode filtering[J].The Journal of the Acoustical Society of America,2010,127(4):2385-2391.[4] Otsuka M,Shimizu M. Mode filter for high-power microwaves[J].IEEE Transactions on Microwave Theory and Techniques,1991,39(9):1650-1654.[5] Yu M,Smith D J,Sivadas A,et al.A dual mode filter with trifurcated iris and reduced footprint[C]//Proceedings of IEEE Microwave Symposium Digest.Seattle:IEEE,2002,3:1457-1460.[6] van de Weijer J,van den Boomgaard R.Local mode filtering[C]//Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.Kauai,HI:IEEE,2001,2:428-433.[7] van de Weijer J,Gevers T.Color mode filtering[C]//Proceedings of International Conference on Image Processing.Thessaloniki:IEEE,2001,1:125-128.[8] 蒋晶珏.LiDAR数据基于点集的表示与分类[D].武汉:武汉大学,2006. Jiang J J.Representation and Classification of LiDAR Data Based on Point Sets[D].Wuhan:Wuhan University,2006. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|