DocumentCode
2825743
Title
Notice of Retraction
Vegetation edge feather extracting based on wavelet transform
Author
Yang Hang ; Zhang Lifu ; Fang Junyong ; Tong Qingxi
Author_Institution
State Key Lab. of Remote Sensing Sci., Chinese Acad. of Sci., Beijing, China
Volume
3
fYear
2010
fDate
21-24 May 2010
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Because field imaging spectrometer has high spatial resolution, soil particles as noise can make many unreasonable edges for its vegetation images. In this paper, in order to gain satisfied edges, we present an edge detection method based on b-spline wavelet transform and 8-connected components. The results show that this method is better than Canny operator with 8-connected components.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Because field imaging spectrometer has high spatial resolution, soil particles as noise can make many unreasonable edges for its vegetation images. In this paper, in order to gain satisfied edges, we present an edge detection method based on b-spline wavelet transform and 8-connected components. The results show that this method is better than Canny operator with 8-connected components.
Keywords
edge detection; geophysical image processing; splines (mathematics); vegetation mapping; wavelet transforms; B-spline wavelet transform; field imaging spectrometer; soil particles; spatial resolution; vegetation edge feather extraction; vegetation image; Feathers; High-resolution imaging; Image edge detection; Image resolution; Remote sensing; Spatial resolution; Spectroscopy; Spline; Vegetation mapping; Wavelet transforms; B-spline Wavelet Transform; Edge Detection; Field Imaging Spectrometer;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location
Wuha
Print_ISBN
978-1-4244-5821-9
Type
conf
DOI
10.1109/ICFCC.2010.5497427
Filename
5497427
Link To Document