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Machine learning approaches to landsat change detection analysis
The Landsat mission has captured images of the Earth's surface for over 50 years, and the
data have enabled researchers to investigate a vast array of different change phenomena …
data have enabled researchers to investigate a vast array of different change phenomena …
A Novel Dynamical Framework for Crop Phenology Estimation With Remote Sensing
L Mascolo, T Martinez-Marin… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
A novel framework to estimate crop phenology with remote sensing measurements is
conceived in this study. We introduce the parametrized grid-based filter, that uses the plant …
conceived in this study. We introduce the parametrized grid-based filter, that uses the plant …
Adaptive Genghis Khan Shark based convolutional denoising autoencoder for quality enhancement of satellite images
M Rajalakshmi, RSS Subramanian… - International Journal of …, 2025 - Springer
Satellite image processing often enhances feature perception and visibility for exact feature
identification. Additionally, the change improves remote sensing data quality and clarity. Due …
identification. Additionally, the change improves remote sensing data quality and clarity. Due …
Leveraging Deep Learning in Remote Sensing: A Novel Approach for Agricultural Greenhouse Detection and Innovation Management
V Tomco, E Grabocka, M Harizaj - International Journal of …, 2025 - dergipark.org.tr
Innovation management plays a pivotal role in harnessing advanced technologies to drive
progress across diverse fields. In this context, integrating deep learning models within …
progress across diverse fields. In this context, integrating deep learning models within …