Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    2016, Vol. 28 Issue (4) : 83-87     DOI: 10.6046/gtzyyg.2016.04.13
Technology and Methodology |
Algorithm of Bowtie effect rapid removing for low and medium resolution satellite images
JIA Yi, WANG Sheng, JIANG Wanshou
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing in Wuhan University, Wuhan 430000, China
Download: PDF(3230 KB)   HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

Bowtie effect is a data overlapping phenomenon which arises in low and middle resolution satellite images such as FY-3 and MODIS. This effect restricts the further application of the satellite image data, so it must be removed before using these data. In view of the defects of existing methods for Bowtie effect removing such as complex calculation and low efficiency, this paper proposes a geometric correction algorithm based on path tracking to remove bowtie effect. It can quickly locate the pixel position of corrected image in the original image by path tracking while considering the disposal of the area which crosses the meridian or fluctuant. The experimental results show that this method can remove the Bowtie effect effectively and quickly.

Keywords NW-trending faults      comprehensive geo-information      gradient chage      ore-controlling      Dong Ujimqin Banner      Wongtu     
:  TP79  
Issue Date: 20 October 2016
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
LI Jianguo
GAO Xuesheng
TENG Fei
ZHANG Surong
TENG Xuejian
HE Fuqing
Cite this article:   
LI Jianguo,GAO Xuesheng,TENG Fei, et al. Algorithm of Bowtie effect rapid removing for low and medium resolution satellite images[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(4): 83-87.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2016.04.13     OR     https://www.gtzyyg.com/EN/Y2016/V28/I4/83

[1] MAST Leader.MODIS Level 1A Earth Location:Algorithm Theoretical Basis Document(ATBD),Version 3.0[EB/OL].[1997-08-26].http://modis.gsfc.nasa.gov/data/atbd/atbd_mod28_v3.pdf.
[2] 郭广猛.非星历表法去除MODIS图像边缘重叠影响的研究[J].遥感技术与应用,2003,18(3):172-175. Guo G M.Eliminating bowtie effect of MODIS data without ephemeris[J].Remote Sensing Technology and Application,2003,18(3):172-175.
[3] 余钧辉,张万昌.一种近似核线影像相关法在遥感图像处理中的应用[J].计算机应用研究,2004,21(7):239-240. Yu J H,Zhang W C.A method derived from digital photogrammetry used eliminated bowtie effect in MODIS L1B data[J].Application Research of Computers,2004,21(7):239-240.
[4] 张娟,顾行发,周小佳,等.样条插值法在MODIS数据条带处理中的应用[J].微计算机信息,2009,25(31):189-191. Zhang J,Gu X F,Zhou X J,et al.Application of removing MODIS stripe noise using cubic spline interpolation[J].Microcomputer Information,2009,25(31):189-191.
[5] 李振,黄海军.Matlab环境下去除MODIS L1B数据的"蝴蝶结"效应[J].海洋科学集刊,2010(50):50-56. Li Z,Huang H J.Using Matlab to remove the bowtie effect of MODIS L1B data[J].Studia Marina Sinica,2010(50):50-56.
[6] 王汉禹,郭浩,安居白,等.MODIS数据Bowtie效应消除算法[J].计算机工程,2014,40(6):234-237. Wang H Y,Guo H,An J B,et al.Algorithm of bowtie effect removing for MODIS data[J].Computer Engineering,2014,40(6):234-237.
[7] 刘良明,文雄飞,余凡,等.MODIS数据Bowtie效应快速消除算法研究[J].国土资源遥感,2007,19(2):10-15.doi:10.6046/gtzyyg.2007.02.03. Liu L M,Wen X F,Yu F,et al.The approach on removing the bowtie effect in MODIS L1B images[J].Remote Sensing for Land and Resources,2007,19(2):10-15.doi:10.6046/gtzyyg.2007.02.03.
[8] 程亮,李培军,张水平.基于分形插值技术的MODIS资料几何纠正方法[J].热带海洋学报,2005,24(6):79-83. Cheng L,Li P J,Zhang S P.Geometric correction of MODIS data based on fractal interpolation method[J].Journal of Tropical Oceanography,2005,24(6):79-83.
[9] 程亮.基于Kriging插值方法的MODIS资料几何纠正方法[J].海洋技术,2007,26(2):51-53. Cheng L.Geometric correction of modis data based on the Kriging interpolation method[J].Ocean Technology,2007,26(2):51-53.
[10] 宋莎莎,张杰,孟俊敏.基于网函数插值的MODIS Level 1B图像Bowtie效应修正[J].遥感技术与应用,2010,25(4):552-559. Song S S,Zhang J,Meng J M.Bowtie effect correction based on net function interpolation in MODIS level 1B images[J].Remote Sensing Technology and Application,2010,25(4):552-559.
[11] R&D Center ScanEx.MODIS tools for ENVI[EB/OL].(2004-09-21).http://eostation.scanex.ru/software.html.
[12] 蒋耿明,牛铮,阮伟利,等.MODIS影像合成算法研究和实现[J].国土资源遥感,2004,16(2):11-15.doi:10.6046/gtzyyg.2004.02.03. Jiang G M,Niu Z,Ruan W L,et al.Cloud-free composition of MODIS data and algorithm realization[J].Remote Sensing for Land and Resources,2004,16(2):11-15.doi:10.6046/gtzyyg.2004.02.03.
[13] 徐萌,郁凡.去除EOS/MODIS 1B数据中"弯弓"效应的方法[J].气象科学,2005,25(3):257-264. Xu M,Yu F.The method of eliminating the bowtie effect in the EOS/MODIS 1B data[J].Scientia Meteorologica Sinica,2005,25(3):257-264.
[14] 梁志华.MODIS影像的几何处理算法研究[J].国土资源遥感,2012,24(1):8-12.doi:10.6046/gtzyyg.2012.01.02. Liang Z H.A study of algorithm of geometric processing for MODIS image[J].Remote Sensing for Land and Resources,2012,24(1):8-12.doi:10.6046/gtzyyg.2012.01.02.
[15] 何立,黄永磷.MODIS 1B数据基于反距离权重的插值方法研究[J].广西气象,2006,27(s1):80-81. He L,Huang Y L.Study on inverse distance weighted interpolation based on MODIS 1B data[J].Journal of Guangxi Meteorology,2006,27(s1):80-81.

[1] Ruijun WANG, Bokun YAN, Mingsong LI, Shuangfa DONG, Yongbin SUN, Bing WANG. Remote sensing interpretation of important ore-controlling geological units in Hongshan Region of Gansu Province using GF-1 image and its application[J]. Remote Sensing for Land & Resources, 2018, 30(2): 162-170.
[2] WANG Ruijun, DONG Shuangfa, SUN Yongbin, LI Jingyue. Remote sensing interpretation and application of the geological unit of Suolake area in Xinjiang based on GF-1 satellite data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(s1): 137-143.
[3] LI Jianguo, GAO Xuesheng, TENG Fei, ZHANG Surong, TENG Xuejian, HE Fuqing. NW-trending faults in Dong Ujimqin Banner area: Evidence from remote sensing,geophysical and geochemical information[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(3): 102-109.
[4] HUANG Jie, LIU Zhi, YIN Xian-ke. INTEGRATED REMOTE SENSING PROGNOSIS OF MINERAL RESOURCES IN SANJIANG REGION, WESTERN CHINA[J]. REMOTE SENSING FOR LAND & RESOURCES, 2003, 15(3): 54-57.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech