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ASME Press Select Proceedings
International Conference on Mechanical Engineering and Technology (ICMET-London 2011)Available to Purchase
Editor
Garry Lee
Garry Lee
Information Engineering Research Institute
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ISBN:
9780791859896
No. of Pages:
906
Publisher:
ASME Press
Publication date:
2011
eBook Chapter
110 Research on Vegetation Information Extraction in the Area of Important Buildings Based on Remote Sensing Image Available to Purchase
By
Guo-qing Qiu
,
Guo-qing Qiu
Engineer Information Technology Department,
PLA University of Science and Technology
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Hong Yin
,
Hong Yin
Engineer Information Technology Department,
PLA University of Science and Technology
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Wen-bin Xie
,
Wen-bin Xie
Engineer Information Technology Department,
PLA University of Science and Technology
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Lei He
,
Lei He
Engineer Information Technology Department,
PLA University of Science and Technology
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Zhi-gang Ao
Zhi-gang Ao
Engineer Information Technology Department,
PLA University of Science and Technology
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Page Count:
4
-
Published:2011
Citation
Qiu, G, Yin, H, Xie, W, He, L, & Ao, Z. "Research on Vegetation Information Extraction in the Area of Important Buildings Based on Remote Sensing Image." International Conference on Mechanical Engineering and Technology (ICMET-London 2011). Ed. Lee, G. ASME Press, 2011.
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The application of hyperspectral remote sensing technology in rapid surveying to quickly extract the vegetation cover index around Important buildings(built or to be built), could clearly understand the basic geographic condition when implementing camouflage protection in Important buildings(built or to be built), and fundamentally improve operational effectiveness of camouflage and anti-investigation of Important buildings. This paper presents a large-scale remote sensing image of vegetation cover information extraction method based on Wavelet transform and LAWS texture measure, which has achieved good results via tests.
Topics:
Structures
Abstract
Keywords
Introduction
Nomenclature
Vegetation Information Extraction Feasibility Analysis
Vegetation Information Extraction Research
LAWS Texture Measure
Evaluation and Research
Conclusion
References
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