Please wait a minute...


Remote Sensing Technology and Application  2008, Vol. 23 Issue (3): 294-299    DOI: 10.11873/j.issn.1004-0323.2008.3.294
Decision Tree Algorithm of Automatically Extracting Paddy Rice Information 5from SPOT-5 Images Based on Characteristic Bands
ZHENG Chang-chun1,3,WANG Xiu-zhen1,2,HUANG Jing-feng 3
 (1.College of Resource and Environment,Xinjiang Agricultural University,Urumqi 830052|China;2.Zhejiang Meteorological Institute of Science|Hangzhou 310004|China;3.Zhejiang University Agricultural Remote Sensing and Information Technology Application Institute,Hangzhou 310029,China)
Download:  PDF (1314KB) 
Export:  BibTeX | EndNote (RIS)      

For meeting the demand for large-scale agricultural monitoring system with remote sensing technology,extracting paddy rice information on the remote sensing image must be rapidly,precisely and reliable conducted.In this paper,paddy rice identification with SPOT-5 image was taken as an example on the 852 farm in Heilongjiang province of China.Firstly,the spectral characteristics of paddy rice and other six land-use types in this area were analyzed to find the possibility of extracting of paddy rice from the background.The results show it is difficult to distinguish paddy rice information from background on the SPOT-5 images because of complexity of spectrum and lack of band information.Secondly,taking those into account,characteristic bands for paddy rice extraction were proposed and merged into SPOT-5 images in order to increase spectral information and improve the separability.Thirdly,a simple model of decision tree was applied to extract paddy rice information.Finally,the results were checked by visual and statistica1 accuracy assessment.The results suggest that the model based on characteristic bands is simple and effective,and the accuracy by the model is much higher than that by the supervised classification method.However,some pixels in the neighborhood area between paddy rice and corn were misjudged.

Key words:   Paddy rice      Spectral analysis      Information extraction      Decision tree     
Received:  21 February 2008      Published:  25 October 2011
TP 79  
  S 127  
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
Articles by authors

Cite this article: 

ZHENG Chang-chun,WANG Xiu-zhen,HUANG Jing-feng. Decision Tree Algorithm of Automatically Extracting Paddy Rice Information 5from SPOT-5 Images Based on Characteristic Bands. Remote Sensing Technology and Application, 2008, 23(3): 294-299.

URL:     OR

[1] Du J K,Huang Y S,Feng X Z,et al.Study on Water BodiesExtraction and Classification from SPOT Image[J].Journal of Remote Sensing,2001,5(3):214-219.[都金康,黄永胜,冯学智,等.SPOT卫星影像的水体提取方法及分类研究[J].遥感学报,2001,5(3):214-219.]
[2] Zhao P,Feng X Z,Lin G F.The Decision Tree Algorithm ofAutomatically Extracting Residential Information from SPOT Images[J].Journal of Remote Sensing,2003,7(4):309-315.[赵萍,冯学智,林广发.SPOT卫星影像居民地信息自动提取的决策树方法研究[J].遥感学报,2003,7(4):309-315.]
[3] Deng J S,Wang K,Li J,et al.Study on The Automatic Extraction of Water Body Information from SPOT-5 Images Using Decision Tree Algorithm[J].Journal of Zhejiang University (Agric.&Life Sci.),2005,31(2):171-174.[邓劲松,王柯,李君,等.决策树方法从SPOT-5卫星影像中自动提取水体信息研究[J].浙江大学学报(农业与生命科学版),2005,31(2):171-174.]
[4] Yang C J,Zhou C H.Extracting Residential Areas on the TMImagery[J].Journal of Remote Sensing,2000,4(1):146-150.[杨存建,周成虎.TM影像的居民地信息提取方法研究[J].遥感学报,2000,4(2):146-150.]
[5] Yang C J,Zhou C H.Extracting Residential Area from TM Image on the Basis of Knowledge Discovered[J].Remote Sensing Technology and Application,2001,16(1):1-6.[杨存建,周成虎.基于知识发现的TM图像居民地自动提取研究[J].遥感技术与应用,2001,16(1):1-6.
[6] Lin W P,Wang C Y,Chu D P,et al.Extraction of Fall CropTypes Based on Spectral Analysis [J]. Transactions of the CSAE,2006,22(9):128-132.[林文鹏,王长耀,储德平,等.基于光谱特征分析的主要秋季作物类型提取研究[J].农业工程学报,2006,22(9):128-132.]
[7] Wang R C,Huang J F.Rice Yield Estimation Using Remote Sensing Data [M].Beijing:China Agriculture Press,2002.[王人潮,黄敬峰.水稻遥感估产[M].北京:中国农业出版社,2002.]
[8] Sun J B.Principles and Applications of Remote Sensing [M].Wuhan:Wuhan University Press 2003.[孙家柄.遥感原理与应用[M].武汉:武汉大学出版社,2003.]

No Suggested Reading articles found!