Multi-class object detection model in satellite images using convolutional neural network

Enhanced Object Detection and Segmentation in Satellite Imagery Through Modified Convolutional Networks Utilizing Transfer Learning Techniques

P Vats, GM Upadhyay, S Shanker, AK Phogat… - … on Information and …, 2024 - Springer
Urban planning, disaster recovery, surveillance of the environment, and various other fields
all heavily rely on satellite imaging. Advanced computer vision algorithms are needed to …
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Enhanced Object Detection and Segmentation in Satellite Imagery Through Modified Convolutional Networks Utilizing Transfer Learning

AK Phogat, S Gupta - ICT for Intelligent Systems: Proceedings of …, 2024 - books.google.com
Urban planning, disaster recovery, surveillance of the environment, and various other fields
all heavily rely on satellite imaging. Advanced computer vision algorithms are needed to …
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Light-Weight Deep Learning Framework for Automated Remote Sensing Images Classification

A Adegun, S Viriri, JR Tapamo - Pan-African Artificial Intelligence and …, 2022 - Springer
Remote sensing images classification plays an important role in a wide range of
applications including disaster response, law enforcement, and environmental monitoring …
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[PDF] academia.edu

[PDF][PDF] Prediction of regional vegetation cover using spatial image features and semantic segmentation

G Chirkhare, R Hablani, S Balamwar - academia.edu
Vegetation is an essential part of our ecosystem; it also determines health of our planet.
According to “The State of the World's Forests 2020” only 31% of the global land area is …
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[引用][C] Regional Vegetation Cover Prediction Using Spatial Image Features and Semantic Segmentation

G Chirkhare, DR Hablani, DS Balamwar - Available at SSRN 4139020
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