Edge Device Integration to visualize Blue Whale Tracking using
Space-Borne Remote Sensing Datascientifically
Abstract
Introducing a CNN-based system for autonomously detecting and tracking
blue whales in the Indian Ocean using spaceborne images. Leveraging deep
learning models and image processing techniques, the system achieves
accurate results with SASPlanet, UK Polar data, and Worldview-2 imagery.
Employing Modified-MobileNet,RTDETR, and Segformer architectures, it
offers a cost-effective solution for Detection , Segmentation and
visualizing whales on edge devices like Telegram and WhatsApp bots.
Evaluation metrics include an F1-score of 80, mAP of 83, precision of
90%, and recall of 98%, demonstrating robust performance in whale
detection using spaceborne remote sensing data.