本文選題：霧厚度圖像 + 去霧�。� 參考：《測(cè)繪科學(xué)技術(shù)學(xué)報(bào)》2017年02期

【摘要】：針對(duì)BSHTI和IBSHTI兩種算法對(duì)衛(wèi)星影像云霧校正后,地表的色調(diào)和紋理等細(xì)節(jié)缺失嚴(yán)重的問(wèn)題,提出OIBSHTI算法對(duì)IBSHTI算法得出的霧厚度圖像進(jìn)行地表信息削減。通過(guò)填洼算法去除暗色區(qū)域,并引入紋理和邊緣信息等進(jìn)行優(yōu)化處理,在徹底去除云霧的同時(shí)保留地表的色調(diào)和紋理,特別是藍(lán)色或紅色建筑物房頂?shù)男ＵЧ^為明顯。
[Abstract]:In order to solve the problem that the color and texture of the ground surface are seriously missing after the cloud and fog correction in satellite image by BSHTI and IBSHTI, a OIBSHTI algorithm is proposed to reduce the surface information of the fog thickness image obtained by the IBSHTI algorithm. The dark color region is removed by filling algorithm, and the texture and edge information are introduced to optimize the processing. The correction effect is obvious when the cloud and fog are completely removed while the colors and textures of the ground surface are preserved, especially the roof of blue or red buildings.
【作者單位】： 信息工程大學(xué);
【基金】：國(guó)家863計(jì)劃項(xiàng)目(2014AA7033049) 東華理工大學(xué)江西省數(shù)字國(guó)土重點(diǎn)實(shí)驗(yàn)室開(kāi)放研究基金項(xiàng)目(DLLJ201503)
【分類號(hào)】：TP751
，

本文編號(hào)：1948208