Deep Learning Models Performance Evaluations for Remote Sensed Image Classification

Deep learning-based land cover and land use (LCLU) classification systems are a significant aspiration for remote sensing communities. In nature, remote sensing images have various properties that need to be analyzed. Analyzing and interpreting image properties is difficult due to the nature of the...

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מידע ביבליוגרפי

Principais autores:	Abebaw Alem, Shailender Kumar
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2022-01-01
סדרה:	IEEE Access
נושאים:	Convolutional neural network deep learning fine-tuning performance comparisons remote sensed image classification transfer learning
גישה מקוונת:	https://ieeexplore.ieee.org/document/9921211/
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!