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REMOTE SENSING FOR LAND & RESOURCES    1999, Vol. 11 Issue (3) : 16-22     DOI: 10.6046/gtzyyg.1999.03.05
Review and Forum |
PETROLEUM REMOTE SENSING DURING THE LAST TWENTY YEARS
Yu Huaqi, Qi Xiaoping
Remote Sensing Geology Institute of RIPED, Beijing 100083
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Abstract  

Petroleum remote sensing is a very important branch of remote sensing technology. In this paper, the authors look back the grown up courses and the great achievements of petroleum remote sensing technology during the last twenty years. It is a process of growing up from nothing, from small to large, and the grown up courses of petrolem remote sensing passed through a process of building an enterprise through arduous effort, growing in strenght, and developing steadily. The authors also discuss the applications of petroleum remote sensing technology in petroleum research, petroleum engineering construction, environment monitoring. Finally, the authors prospect the prospects of petroleum remote sensing applications.

Keywords Remote sensing images      Automatic image mosaic      Valid area      Seam line eliminating      Dodging     
Issue Date: 02 August 2011
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ZHANG Deng-Rong
ZHANG Han-Kui
YU Le
CHEN Qian
FENG Xin-Qiang
ZHANG Zhong-Min
Cite this article:   
ZHANG Deng-Rong,ZHANG Han-Kui,YU Le, et al. PETROLEUM REMOTE SENSING DURING THE LAST TWENTY YEARS[J]. REMOTE SENSING FOR LAND & RESOURCES, 1999, 11(3): 16-22.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.1999.03.05     OR     https://www.gtzyyg.com/EN/Y1999/V11/I3/16

1 中国石油夭然气总公司石油勘探开发科学研究院科技论文集.油气地质与勘探,北京:石油工业出版社,1996
2 庄逢甘等.中国地方遥感应用进展.北京:宇航出版杜,1997
3 陈述彭等.中国遥感进展.万国学术出版社,1992

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