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owen_xmc銅蟲 (小有名氣)
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[求助]
高光譜圖像分類和解混方面審稿人提出的一個(gè)問題,degradation, noise, variabilities
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審稿人意見: it is well-known that the remote sensing data usually tend to suffer from various degradation, noise effects, or variabilities in the process of imaging. please give the discussion and analysis by referring to the paper titled by e.g., an augmented linear mixing model to address spectral variability for hyperspectral unmixing. the reviewer is wondering what will happen if the proposed method meets the various variabilities. 我的論文是關(guān)于高光譜圖像分類的,審稿人想讓我分析一下模型遇到various variabilities的效果。 我個(gè)人理解要對原始數(shù)據(jù)集中的數(shù)據(jù)進(jìn)行擾動,比如增加噪音,然后再進(jìn)行分類,看精度有什么變化。 degradation和variabilities就不清楚要怎么做了。 審稿人推薦的論文中有提到一個(gè)隨機(jī)scale factor[0.75-1.25],把數(shù)據(jù)乘上這個(gè)facotr也是一個(gè)對數(shù)據(jù)擾動的辦法吧。 我想知道我應(yīng)該怎么做這個(gè)實(shí)驗(yàn)?zāi)?先感謝相關(guān)領(lǐng)域的大佬答疑解惑。!:d |
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銅蟲 (小有名氣)
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