Skip to main content

Larus ridibundus automatic identification; deep learning; color moments; threshold segmentation; convolution cutting; U-Net network

A Larus ridibundus Recognition Method Using UAV Remote Sensing and Deep Learning to Address Water Surface Reflection Interference

Tag image

Monitoring bird populations is crucial to conserve biodiversity and protect wetland ecosystems. Unmanned aerial vehicle (UAV) remote sensing is characterized by high image resolution, strong maneuverability, and convenient data acquisition, and is thus well suited for monitoring bird species in wetland environments. However, strong light reflection from the water surface interferes with the accurate identification of birds on UAV remote sensing images.

Categories:

A Larus ridibundus Recognition Method Using UAV Remote Sensing and Deep Learning to Address Water Surface Reflection Interference

Tag image

Monitoring bird populations is crucial to conserve biodiversity and protect wetland ecosystems. Unmanned aerial vehicle (UAV) remote sensing is characterized by high image resolution, strong maneuverability, and convenient data acquisition, and is thus well suited for monitoring bird species in wetland environments. However, strong light reflection from the water surface interferes with the accurate identification of birds on UAV remote sensing images.

Categories:
Subscribe to Larus ridibundus automatic identification; deep learning; color moments; threshold segmentation; convolution cutting; U-Net network