A Novel Deep Learning Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self …

HM Albarakati, MA Khan, A Hamza… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
AI-driven precision agriculture applications can benefit from the large data source that
remote sensing (RS) provides, as it can gather agricultural monitoring data at various scales …

Comparison of machine and deep learning algorithms using Google Earth Engine and Python for land classifications

A Nigar, Y Li, MY Jat Baloch, AF Alrefaei… - Frontiers in …, 2024 - frontiersin.org
Classifying land use and land cover (LULC) is essential for various environmental
monitoring and geospatial analysis applications. This research focuses on land …

A Data Compression Method for Wellbore Stability Monitoring Based on Deep Autoencoder

S Song, X Zhao, Z Zhang, M Luo - Sensors, 2024 - mdpi.com
The compression method for wellbore trajectory data is crucial for monitoring wellbore
stability. However, classical methods like methods based on Huffman coding, compressed …

Applying a deep learning pipeline to classify land cover from low-quality historical RGB imagery

HN Eyster, B Beckage - PeerJ Computer Science, 2024 - peerj.com
Land use and land cover (LULC) classification is becoming faster and more accurate thanks
to new deep learning algorithms. Moreover, new high spectral-and spatial-resolution …

Bridging the gap: deep learning in the semantic segmentation of remote sensing data

A Hadir, O Assainova, M Adjou, G Palka… - … and Tracking XXXV, 2024 - spiedigitallibrary.org
Semantic segmentation has crucial importance in various domains due to its ability to
recognize and categorize objects within an image at a pixel level. This task enables a wide …

Revisión bibliométrica de las principales metodologías para la evaluación del uso y cobertura del suelo

EF Vargas Becerra - repository.usta.edu.co
Esta investigación presenta una revisión bibliométrica centrada en examinar las
metodologías empleadas en la clasificación supervisada y no supervisada del uso y …