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Peng Chuyue, Cheng Xiao, Xia Linyuan. Study on Recognizing the Penguin Population in UAV Image Based on Object Otiented Classification[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20200557
Citation: Peng Chuyue, Cheng Xiao, Xia Linyuan. Study on Recognizing the Penguin Population in UAV Image Based on Object Otiented Classification[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20200557

Study on Recognizing the Penguin Population in UAV Image Based on Object Otiented Classification

doi: 10.13203/j.whugis20200557
Funds:

The national Natural Science Foundation of China (41925027).

  • Received Date: 2020-10-17
    Available Online: 2021-05-07
  • Penguins are representative organisms in Antarctica. Monitoring the population and distribution of penguins is of great significance to the study of 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. The Penguin Island in East Antarctica was selected as the study area where the Chinese Antarctic Scientific Research Team used remote sensing UAV to make aerial observations in January 2017, January 2018 and December 2019, 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. The overall accuracy is 91%. The experimental results showed 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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Study on Recognizing the Penguin Population in UAV Image Based on Object Otiented Classification

doi: 10.13203/j.whugis20200557
Funds:

The national Natural Science Foundation of China (41925027).

Abstract: Penguins are representative organisms in Antarctica. Monitoring the population and distribution of penguins is of great significance to the study of 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. The Penguin Island in East Antarctica was selected as the study area where the Chinese Antarctic Scientific Research Team used remote sensing UAV to make aerial observations in January 2017, January 2018 and December 2019, 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. The overall accuracy is 91%. The experimental results showed 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.

Peng Chuyue, Cheng Xiao, Xia Linyuan. Study on Recognizing the Penguin Population in UAV Image Based on Object Otiented Classification[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20200557
Citation: Peng Chuyue, Cheng Xiao, Xia Linyuan. Study on Recognizing the Penguin Population in UAV Image Based on Object Otiented Classification[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20200557
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