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改進(jìn)CV模型在高分辨率遙感影像分割中的應(yīng)用
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國(guó)家自然科學(xué)基金資助項(xiàng)目（60772038）和中國(guó)農(nóng)業(yè)大學(xué)基本科研業(yè)務(wù)費(fèi)研究生科研創(chuàng)新專(zhuān)項(xiàng)資助


Improved Chan-Vese Model and Its Application on High Resolution Remote Sensing Image Segmentation
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    摘要:

    針對(duì)遙感圖像的特點(diǎn)及分割要求給出了一種CV簡(jiǎn)化模型，并對(duì)改進(jìn)模型的正確性進(jìn)行了實(shí)驗(yàn)驗(yàn)證。實(shí)驗(yàn)結(jié)果表明，該方法不但提高了運(yùn)算速度，而且能夠得到連續(xù)封閉的目標(biāo)地物矢量數(shù)據(jù)，因此可方便地利用分割邊界的幾何特征實(shí)現(xiàn)地物目標(biāo)的精確識(shí)別。

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    An improved CV model was presented according to the characters and the segmentation requirements of the remote sensing images. The correctness of the improved model was validated by the experiment. The results show that the new method can improve calculation efficiency effectively. Beside this, a continuous and closed boundary curve of the target objects can be obtained at the same time. Therefore, the land cover can be identified precisely with the help of the geometrical characteristic of the segmentation boundary.

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許文寧,梅樹(shù)立,王鵬新,楊勇.改進(jìn)CV模型在高分辨率遙感影像分割中的應(yīng)用[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2011,42(3):180-183. Xu Wenning, Mei Shuli,Wang Pengxin,Yang Yong. Improved Chan-Vese Model and Its Application on High Resolution Remote Sensing Image Segmentation[J]. Transactions of the Chinese Society for Agricultural Machinery,2011,42(3):180-183.

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