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Remote Sensing Technology and Application  1996, Vol. 11 Issue (1): 1-6    DOI: 10.11873/j.issn.1004-0323.1996.1.1
    
Landcover Recognizing Model with Spectral Image by Using Fractal Dimension and Wavelet Transform
 Li Jiahong  Qin Yong
Institute of Remote Sensing Application CAS,Beijing 100101 Beijing Normal University,Beijing 100091
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Abstract  Mingle spectrum caused by the different landcover’s spectrum mixing in one pixel on remote sensing image is the main reason to restrin the improvement of recognition precision.Spectral image is useful data to discriminate landcover, DN distribution curve in wavelength (band) order for each pixel or window on it can be obtained easily. In fact the DN curve represents the corresponding landcover’s spectrum in field by the image radiometric correction processing, the DN curve is the mingle spectrum usually. Wavelet transform is a useful method decomposing mingle spectrum into different frequency spectra which correspond to the different landcovers. Fractal dimension is the excellent index to represent these complex curves shape.By analysising the difference of the decomposed curves with the standard landcover spectrum that the landcover is to be reconized we can discriminate and recognize successfully with the spectral image. The reconizing model presented in this paper obviously has improved the recognizing accuracy of landcover, especially minerization feature, the component of landcover and the hydrocarbon microseepage in the soil from the underground oil pools etc.
Key words:  Spectral image data       Fractal geometry       Wavelet transform       Mingle spectrum intepretation       Object recognition      
Published:  11 September 2012
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Li-Jia-Hong
Qin-Yong

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. Landcover Recognizing Model with Spectral Image by Using Fractal Dimension and Wavelet Transform. Remote Sensing Technology and Application, 1996, 11(1): 1-6.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.1996.1.1     OR     http://www.rsta.ac.cn/EN/Y1996/V11/I1/1

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