A comprehensive overview and comparative analysis on deep learning models: CNN, RNN, LSTM, GRU

FM Shiri, T Perumal, N Mustapha… - ar** of geological remote sensing via adversarial semi-supervised segmentation network
S Wang, X Huang, W Han, J Li, X Zhang… - International Journal of …, 2023‏ - Elsevier
Geological remote sensing interpretation (GRSI), which aims to recognize multiple
geological elements based on their characteristics on satellite remote sensing images, is …

[HTML][HTML] Recent advances and emerging directions in fire detection systems based on machine learning algorithms

BM Diaconu - Fire, 2023‏ - mdpi.com
Fire detection is a critical safety issue due to the major and irreversible consequences of fire,
from economic prejudices to loss of life. It is therefore of utmost importance to design …

[HTML][HTML] Federated learning meets remote sensing

S Moreno-Álvarez, ME Paoletti… - Expert Systems with …, 2024‏ - Elsevier
Remote sensing (RS) imagery provides invaluable insights into characterizing the Earth's
land surface within the scope of Earth observation (EO). Technological advances in capture …

[HTML][HTML] Integration of remote sensing and machine learning for precision agriculture: a comprehensive perspective on applications

J Wang, Y Wang, G Li, Z Qi - Agronomy, 2024‏ - mdpi.com
Due to current global population growth, resource shortages, and climate change, traditional
agricultural models face major challenges. Precision agriculture (PA), as a way to realize the …

Remote-sensing interpretation for soil elements using adaptive feature fusion network

Y Lu, K He, H Xu, Y Dong, W Han… - IEEE Transactions on …, 2023‏ - ieeexplore.ieee.org
Soil elements refer to different types of soils with unique colors, textures, and particle sizes.
Their interpretation is essential for agriculture, ecological environment, and land …

[HTML][HTML] Ecosystem health assessment based on deep learning in a mountain-basin system in Central Asia's arid regions, China

X Bi, Y Fu, P Wang, Y Zhang, Z Yang, F Hou, B Li - Ecological Indicators, 2024‏ - Elsevier
Arid pastoral ecosystems are particularly vulnerable to degradation and desertification,
exacerbated by factors such as overgrazing, land use changes, and climate change impacts …

Nearshore bathymetry from ICESat-2 LiDAR and Sentinel-2 imagery datasets using physics-informed CNN

C **e, P Chen, S Zhang, H Huang - Remote Sensing, 2024‏ - mdpi.com
The recently developed Ice, Cloud, and Land Elevation Satellite 2 (ICESat-2), furnished with
the Advanced Terrain Laser Altimeter System (ATLAS), delivers considerable benefits in …