Study on identifying deciduous forest by the method of feature space transformation

Xuexia Zhang; Pengfei Wu

doi:10.1117/12.833144

30 October 2009 Study on identifying deciduous forest by the method of feature space transformation

Xuexia Zhang, Pengfei Wu

Proceedings Volume 7494, MIPPR 2009: Multispectral Image Acquisition and Processing; 74942E (2009) https://doi.org/10.1117/12.833144
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

The thematic remotely sensed information extraction is always one of puzzling nuts which the remote sensing science faces, so many remote sensing scientists devotes diligently to this domain research. The methods of thematic information extraction include two kinds of the visual interpretation and the computer interpretation, the developing direction of which is intellectualization and comprehensive modularization. The paper tries to develop the intelligent extraction method of feature space transformation for the deciduous forest thematic information extraction in Changping district of Beijing city. The whole Chinese-Brazil resources satellite images received in 2005 are used to extract the deciduous forest coverage area by feature space transformation method and linear spectral decomposing method, and the result from remote sensing is similar to woodland resource census data by Chinese forestry bureau in 2004.

Citation Download Citation

Xuexia Zhang and Pengfei Wu "Study on identifying deciduous forest by the method of feature space transformation", Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74942E (30 October 2009); https://doi.org/10.1117/12.833144

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KEYWORDS

Vegetation

Visualization

Remote sensing

Satellites

Forestry

Error analysis

Statistical analysis

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