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Enhancement of remote sensing images based on NSCT and fuzzy theory |
| DING Haiyong, LUO Haibin, GUO Ruirui |
| School of Geography and Remote Sensing, Nanjing University of Information Science and Technology, Nanjing 210044, China |
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Abstract A remote sensing image enhancement algorithm, which is based on the non-subsampled contourlet transform (NSCT)and the fuzzy theory, was proposed in this paper. Firstly, the low pass and high pass coefficients in different sizes of the image were acquired using the NSCT transform. Then, a membership function in fuzzy theory was defined to enhance the high pass coefficients. In the process of transforming the fuzzy domain to NSCT domain and reconstructing the image, the high pass sub-bands coefficients were added into low pass sub-bands step by step and the enhancement was realized finally. The results of the experiments show that the proposed method could enhance the remote sensing image perfectly in both subjective and objective aspects. The results obtained by the authors suggest that the high-pass coefficients of the NSCT transform of the image contain most of the details of the original image, and image enhancement task could be attained by fuzzy transformation of the high-pass coefficients. However, the proposed method has the disadvantages of large computation quantity and the requirement of manual adjustment of several parameters.
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| Keywords
object-oriented
multi-resolution segmentation(MRS)
tree-cotton intercropping
texture feature
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Issue Date: 15 August 2017
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2017,
Vol. 29
