本文選題：遙感圖像檢索　切入點(diǎn)：植被區(qū)域　出處：《測繪與空間地理信息》2016年06期 　論文類型：期刊論文

【摘要】：隨著遙感圖像數(shù)量的急劇增加,基于內(nèi)容的遙感圖像檢索系統(tǒng)已成為一個(gè)研究熱點(diǎn)。該文在以綜合區(qū)域匹配算法為圖像相似度度量的前提下,提出了以空間綠顏色特征值降序排序的遙感圖像數(shù)據(jù)庫植被區(qū)域檢索方法。首先,用綜合區(qū)域匹配算法對圖像進(jìn)行相似度度量;然后,依據(jù)這些圖像的空間綠顏色特征值對圖像進(jìn)行降序排序,從而得到含有植被區(qū)域這一高級語義特征的檢索結(jié)果。實(shí)驗(yàn)表明:該方法將檢索查準(zhǔn)率提高了20%,檢索效率明顯提高,可滿足用戶的需求。
[Abstract]:With the rapid increase in the number of remote sensing images, content-based remote sensing image retrieval system has become a research hotspot. This paper presents a method of vegetation region retrieval in remote sensing image database based on descending order of spatial green color eigenvalues. Firstly, the synthetic region matching algorithm is used to measure the similarity of images. According to the spatial green color characteristic value of these images, the image is sorted in descending order, and the retrieval result with the high-level semantic feature of vegetation region is obtained. The experimental results show that the retrieval accuracy rate is increased by 20%, and the retrieval efficiency is obviously improved by this method. Can meet the needs of users.
【作者單位】： 蘭州交通大學(xué)測繪與地理信息學(xué)院;甘肅省地理國情監(jiān)測工程實(shí)驗(yàn)室;
【基金】：甘肅省高等學(xué)�；究蒲袠I(yè)務(wù)費(fèi)項(xiàng)目——基于空間關(guān)系敏感的高分辨率衛(wèi)星圖像檢索技術(shù)研究(213049)資助
【分類號】：P237

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