normalizing process中文是什么意思

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中文翻譯
造句

正?；幚? 規(guī)格化處理

normalizing ?；? 規(guī)格化; 歸一正?；? 正火正火 ?；? 軟氮化; 正常的; 正?；瘹w一化; 正規(guī)化; 正火
bright normalizing 光亮正火
diffusion normalizing 高溫擴(kuò)散正火; 擴(kuò)散正?；? 擴(kuò)散正火
double normalizing 霸重正?；? 兩次正火; 兩交正火; 雙重正火
flame normalizing 火焰正火
isothermal normalizing 等溫正火
mechanism of normalizing 正火機(jī)理
normalizing annealing ?；嘶?/li>
normalizing condition 歸一化條件; 正規(guī)條件
normalizing device 標(biāo)準(zhǔn)儀; 校準(zhǔn)儀
normalizing factor 歸一化因數(shù); 歸一化因子; 正則化因數(shù)
normalizing furnace ?；癄t; ?；馉t; 正火爐
normalizing line ?；鳂I(yè)線; 正火作業(yè)線
normalizing mask 凈化面膜
normalizing operation 標(biāo)準(zhǔn)化操作
normalizing parameter 標(biāo)準(zhǔn)化參數(shù)
normalizing pass 退火焊道
normalizing rolling 正火軋制
normalizing scale 正火氧化皮
normalizing temperature 正火溫度
normalizing treatment 正火處理
normalizing white 基準(zhǔn)白
normalizing zone 熱定型區(qū)
annealing and normalizing treatment 退火與正火處理
normalizing processing 規(guī)格化處理
normalizing parameter system [數(shù)] 標(biāo)準(zhǔn)化參數(shù)系統(tǒng)

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5 . analyze the spectral characteristics of typical object . process spectrum especially the vegetable spectrum with differential calculation, normalize processing and differential calculation after normalize processing, the spectral difference of the same object was removed
分析了光譜庫中典型地物的光譜特性，對光譜庫光譜特別是植被光譜做了導(dǎo)數(shù)、歸?化及歸?化后再計算導(dǎo)數(shù)等三種處理，消除了同一地物因背景、光照差異等因素造成的光譜差異。
5 . analyze the spectral characteristics of typical object . process spectrum especially the vegetable spectrum with differential calculation, normalize processing and differential calculation after normalize processing, the spectral difference of the same object was removed
分析了光譜庫中典型地物的光譜特性，對光譜庫光譜特別是植被光譜做了導(dǎo)數(shù)、歸?化及歸?化后再計算導(dǎo)數(shù)等三種處理，消除了同一地物因背景、光照差異等因素造成的光譜差異。
Thirdly, the paper analyzes the terrain entropy in detail . the primary bug of this algorithm is that discards the relative position information of terrain data and normalized processing . based on this, the kalman filter for optional estimation is offered and the maximization of mutual information is synthesized, the performance of algorithm is improved, the filter divergence is restrained
基于此點(diǎn)，論文對地形熵算法做了詳細(xì)的分析，提出了基于最優(yōu)估計思想的卡爾曼濾波方法，并綜合使用了交互信息量等方法，改進(jìn)了地形熵算法在tfta中應(yīng)用的性能，取得了較好的效果。

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