CAJ | 학술논문

卫星云图检索可帮助气象预报人员快速定位历史相似天气，根据云图纹理特征区分度较大的特点提出一种采用纹理特征对卫星云图进行相似性检索的方法。针对找到一个普遍适用的纹理特征非常困难的问题，提出一种根据特征值的方差分布情况从大量备选特征中快速找出适合某类图像检索所需的纹理特征值的方法，并以灰度共生矩阵的特征值提取为例，对卫星云图进行相似性检索。检索流程为：首先对云图进行云地分离的预处理，然后从云图的灰度共生矩阵中提取有效的检索特征生成特征值，并与历史云图库对应的特征库进行相似距离计算，最后根据距离的排序顺序输出最终的检索结果。实验表明，该方法能有效地从历史云图库中检索出具有相似视觉特征的云图，说明该方法可以用于卫星云图的相似性检索。
위성운도검색가방조기상예보인원쾌속정위역사상사천기，근거운도문리특정구분도교대적특점제출일충채용문리특정대위성운도진행상사성검색적방법。침대조도일개보편괄용적문리특정비상곤난적문제，제출일충근거특정치적방차분포정황종대량비선특정중쾌속조출괄합모류도상검색소수적문리특정치적방법，병이회도공생구진적특정치제취위례，대위성운도진행상사성검색。검색류정위：수선대운도진행운지분리적예처리，연후종운도적회도공생구진중제취유효적검색특정생성특정치，병여역사운도고대응적특정고진행상사거리계산，최후근거거리적배서순서수출최종적검색결과。실험표명，해방법능유효지종역사운도고중검색출구유상사시각특정적운도，설명해방법가이용우위성운도적상사성검색。
Satellite cloud image retrieval can help forecasters positioning similar weather in the past quickly. As the texture characteristics of satellite cloud image has a greater degree of differenti-ation, puts forward a method of satellite cloud image retrieval based on texture characteristics. It is very difficult to find a universally applicable texture feature, proposes a method based on the distribution of variance to find out features needed for certain types of image retrieval. Takes the extraction of gray level co-occurrence matrix as example to carry out similarity retrieval of cloud images. Carries out the pretreatment of separation on the cloud image. Extracts effective re-trieval features from the gray level co-occurrence of the cloud image to generate feature vector and calculate the similarity distance of this feature vector to the history feature vector library. Outputs the results according to the sorted order. Experiments show that this method can re-trieve satellite cloud images with similar visual characteristics from the history cloud image at-las. It can conclude that this method can be used in similarity retrieval for satellite cloud image.