面向橋梁目標(biāo)自動(dòng)檢測(cè)的多源遙感圖像融合模型與方法
Fusion Model for Bridge Automatic Detection in Multi-source Remote Sensing Imagery
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摘要: 作為信息增值的一種有效手段，圖像融合技術(shù)已廣泛地用于成像遙感應(yīng)用領(lǐng)域。面向目標(biāo)識(shí)別的圖像融合需依據(jù)不同的目標(biāo)任務(wù)建立不同的融合模型。該文提出了適于橋梁目標(biāo)自動(dòng)檢測(cè)的多源遙感圖像融合模型和方法。該模型充分考慮了數(shù)據(jù)源特性、遙感圖像中的橋梁目標(biāo)特征和目標(biāo)背景特征，能在復(fù)雜大幅場(chǎng)景中有效地檢測(cè)橋梁。真實(shí)多源遙感圖像的實(shí)驗(yàn)結(jié)果驗(yàn)證了該模型和方法的合理性。
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關(guān)鍵詞:
- 圖像融合; 融合模型; 橋梁目標(biāo)檢測(cè)
Abstract: Image fusion principles have been widely used in application of imaging remote sensing as an effective means of synergistic combination of information. Image fusion applied for target recognition should be modeling for each different task. A kind of fusion model for bridge automatic detection in multi-source remote sensing image is proposed in the paper, which is designed based on the character of multi-source data, bridge identity and the background feature in remote sensing images. The results of bridge automatic detection in real images of complex scene prove the models validity. -
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