本文關(guān)鍵詞：基于區(qū)域生長(zhǎng)的道路和橋梁識(shí)別方法的研究，由筆耕文化傳播整理發(fā)布。

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1)  bridge damage identification

橋梁損傷識(shí)別

1.

Along with construction of some long-span bridge, the technology of bridge damage identification became one of important problems for civil engineer.

論文在收集、總結(jié)、分析及研究國(guó)內(nèi)外主要的損傷識(shí)別理論和試驗(yàn)技術(shù)的基礎(chǔ)上，，依據(jù)模態(tài)分析技術(shù)和人工神經(jīng)網(wǎng)絡(luò)用于橋梁損傷識(shí)別中的特點(diǎn)，提出了橋梁結(jié)構(gòu)損傷識(shí)別分步方法，對(duì)連續(xù)梁橋主梁的損傷位置及損傷程度進(jìn)行了較為成功的識(shí)別。

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2)  damage identification of beam structures

梁損傷識(shí)別

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3)  suspension bridge damage detection

懸索橋損傷識(shí)別

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4)  Bridge damage

橋梁損傷

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5)  bridge recognition

橋梁識(shí)別

1.

Study of road and bridge recognition based on region growing;

基于區(qū)域生長(zhǎng)的道路和橋梁識(shí)別方法的研究

2.

Base on the characteristics of bridge in high resolution SAR imagery,we present a new bridge recognition method,it is mainly composed of image segmenting,interesting area locating and bridge recognition.

根據(jù)高分辨率SAR圖像中橋梁目標(biāo)的特點(diǎn)提出了一種新的橋梁識(shí)別算法,主要由水體分割、感興趣區(qū)域確定和橋梁識(shí)別三個(gè)步驟實(shí)現(xiàn)。

3.

Making using of the information and the features of bridge、river and land in the sensing image,a method of bridge recognition in the sensing image based on the knowledge is presented.

利用橋梁、河流和陸地各自在遙感圖像中的信息特征,提出了一種基于知識(shí)的遙感圖像中橋梁識(shí)別方法,通過(guò)對(duì)橋梁知識(shí)的理解,來(lái)指導(dǎo)圖像的處理和分析。

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6)  damage detection

損傷識(shí)別

1.

Applications of neural networks in quantitative analysis of damage detection;

神經(jīng)網(wǎng)絡(luò)法在定量損傷識(shí)別研究中的應(yīng)用

2.

Challenges in applying the vibration-based damage detection to civil structures;

土木工程結(jié)構(gòu)振動(dòng)損傷識(shí)別面臨的挑戰(zhàn)

3.

Application of wavelet transform for early-stage damage detection;

小波變換在早期損傷識(shí)別中的應(yīng)用

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補(bǔ)充資料：高水橋(見(jiàn)軍用橋梁)

高水橋(見(jiàn)軍用橋梁)
high-level bridge

gQoshuiqiao高水橋(high一level bridge)橋梁。

說(shuō)明：補(bǔ)充資料僅用于學(xué)習(xí)參考，請(qǐng)勿用于其它任何用途。

  本文關(guān)鍵詞：基于區(qū)域生長(zhǎng)的道路和橋梁識(shí)別方法的研究，由筆耕文化傳播整理發(fā)布。