本文選題：可定位圖像 + EXIF格式�。� 參考：《地球信息科學(xué)學(xué)報》2016年08期

【摘要】：圖像是視覺所及環(huán)境的自然再現(xiàn),具有表達(dá)直觀、內(nèi)容豐富的特性,其已成為GIS空間數(shù)據(jù)采集與應(yīng)用中一種重要的可視數(shù)據(jù)源。隨著硬件終端的高速發(fā)展,集成的傳感器愈加豐富,多源傳感器信息融合已成為移動GIS數(shù)據(jù)懫集的發(fā)展趨勢。針對移動終端獲取方位角偏差問題,本文重點闡述了基于移動終端的重力傳感器與磁力傳感器獲取鏡頭拍攝朝向的算法,并基于EXIF圖像格式實現(xiàn)了圖像元數(shù)據(jù)、定位信息、方位信息一體化采集生成可定位圖像。針對現(xiàn)有可定位圖像以點代面建模方式的不足,本文以鏡頭視野范圍AOV(Angle of View)模型為基礎(chǔ),提出了以圖像元數(shù)據(jù)、位置信息以及方位信息構(gòu)建圖像可視域的方法,并采用多級網(wǎng)格方式對圖像可視域面狀特征建立空間索引,實現(xiàn)基于可視域的圖像檢索。在此基礎(chǔ)上,針對福建省野外遙感核查采集的8022幅可定位圖像,采用點建模及可視域建模2種方式建立檢索圖像集。從檢索速度、檢索結(jié)果2個方面進(jìn)行對比分析,表明基于可視域圖像檢索方法不僅能檢索出拍攝位置在檢索區(qū)域內(nèi)的圖像,還可檢索出拍攝位置在檢索區(qū)域外但實際拍攝場景在檢索范圍內(nèi)的圖像。同時,通過多級空間網(wǎng)格索引可提升6.22-8.64倍檢索速度。
[Abstract]:Image is the natural reproduction of visual environment, which has the characteristics of intuitive expression and rich content. It has become an important visual data source in the acquisition and application of GIS spatial data. With the rapid development of hardware terminals, integrated sensors become more and more abundant, and multi-source sensor information fusion has become the development trend of mobile GIS data collection. Aiming at the problem of azimuth deviation of mobile terminal, this paper focuses on the algorithm of obtaining shot orientation by gravity sensor and magnetic sensor based on mobile terminal, and realizes image metadata and location information based on EXIF image format. Orientation information integrated acquisition to generate locatable image. Aiming at the deficiency of the existing method of point-to-face modeling of localizable image, this paper presents a method of constructing the visual domain of the image based on the AOV(Angle of view model, which is based on the image metadata, position information and azimuth information. The multilevel grid method is used to build spatial index for the viewable features of the image, and the image retrieval based on the visual domain is realized. On this basis, 8022 locatable images collected by field remote sensing verification in Fujian Province are built by point modeling and visual modeling. Comparing and analyzing from two aspects of retrieval speed and retrieval result, it is shown that the method based on viewable image retrieval can not only retrieve the image of shooting position in the retrieval area, It can also retrieve images where the shooting location is outside the retrieval area but the actual scene is in the retrieval range. At the same time, the retrieval speed can be increased by 6.22-8.64 times by multilevel spatial grid index.
【作者單位】： 福建師范大學(xué)地理科學(xué)學(xué)院;福建省陸地災(zāi)害監(jiān)測評估工程技術(shù)研究中心;中國科學(xué)院地理科學(xué)與資源研究所資源與環(huán)境信息系統(tǒng)國家重點實驗室;
【基金】：國家自然科學(xué)基金項目(41201417) 資源與環(huán)境信息系統(tǒng)國家重點實驗室青年人才培養(yǎng)基金項目(O8R8B6E0YA) 福建省自然科學(xué)基金項目(2016J01186) 福建省測繪地理信息局局校合作科技項目(2016JX02)
【分類號】：P208

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1 楊進(jìn);劉建波;戴芹;;一種改進(jìn)包模型的遙感圖像檢索方法[J];武漢大學(xué)學(xué)報(信息科學(xué)版);2014年09期

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