| 一种面向对象分类的企鹅种群无人机影像识别方法 |
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| 引用本文： | 彭楚粤,程晓,夏林元.一种面向对象分类的企鹅种群无人机影像识别方法[J].武汉大学学报(信息科学版),2023,48(4):550-558. |
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| 作者姓名： | 彭楚粤 程晓 夏林元 |
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| 作者单位： | 1.中山大学测绘科学与技术学院, 广东 珠海, 519082 |
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| 基金项目： | 国家自然科学基金41925027 |
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| 摘 要： | 企鹅是南极的代表性生物, 监测企鹅的数量及分布对研究南极环境变化有重大意义。以往研究大多基于中高分辨率影像进行企鹅识别, 识别精度难以进一步提高, 且已有的企鹅种群的时间序列分析都是基于间接识别方法, 因此亟需发展基于高分辨率遥感影像的企鹅数量精确识别研究。首先, 选取东南极企鹅岛作为研究对象, 中国南极科学考察队利用遥感无人机分别于2017-01、2018-01和2019-12对该区域进行航拍观测, 获得了厘米级的高分辨率影像。然后, 基于面向对象分类法, 分别提取了3幅影像的企鹅阴影像元, 计算得到企鹅数量, 并标记了企鹅栖息地, 总体精度达到91%。实验结果表明, 企鹅种群动态变化, 栖息地分布较固定, 但数量出现波动, 3幅影像中分别为1 068对、1 003对和1 081对。
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| 关 键 词： | 企鹅 无人机 高分辨率影像 面向对象 南极 |
| 收稿时间： | 2020-10-20 |
A Recognizing Method of Penguin Population Using UAV Images Based on Object Otiented Classification |
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| Institution: | 1.School of Geospatial Engineering and Science, Sun Yat-Sen University, Zhuhai 519082, China2.School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, China |
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| Abstract: | Objectives Penguins are representative organisms in Antarctica. Monitoring the population and distribution of penguins is significant to study on environmental changes in Antarctica. In the past studies, due to the limitation of medium-high resolution images, the accuracy of penguin recognition is difficult to be further improved, and the existing time series analysis of penguin distribution and population is based on indirect identification method. Methods The penguin island in East Antarctica was selected as the study area where the chinese antarctic scientific research team used remote sensing unmanned aerial vehicle to make aerial observations in 2017-01, 2018-01 and 2019-12, and obtained centimeter-level resolution images. Based on object-oriented classification, the shadow pixels of penguins in 3 images were extracted, the penguin habitats were marked, and the penguin population was calculated. Results and Conclusions The overall accuracy is 91%, and the results show the dynamic changes of penguin population of which the distribution of penguin habitat was relatively fixed, but the number of penguins fluctuated with 1 068 pairs, 1 003 pairs and 1 081 pairs in 3 images respectively. |
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