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[HTML][HTML] Application of deep learning in multitemporal remote sensing image classification
X Cheng, Y Sun, W Zhang, Y Wang, X Cao, Y Wang - Remote Sensing, 2023 - mdpi.com
The rapid advancement of remote sensing technology has significantly enhanced the
temporal resolution of remote sensing data. Multitemporal remote sensing image …
temporal resolution of remote sensing data. Multitemporal remote sensing image …
Artificial intelligence-supported art education: A deep learning-based system for promoting university students' artwork appreciation and painting outcomes
In a conventional art course, it is important for a teacher to provide feedback and guidance to
individual students based on their learning status. However, it is challenging for teachers to …
individual students based on their learning status. However, it is challenging for teachers to …
A novel method based on machine vision system and deep learning to detect fraud in turmeric powder
Assessing the quality of food and spices is particularly important in ensuring proper human
nutrition. The use of computer vision method as a non-destructive technique in measuring …
nutrition. The use of computer vision method as a non-destructive technique in measuring …
Segmentation and multi-layer perceptron: an intelligent multi-classification model for sugarcane disease detection
Sugarcane disease detection has been an active area of research for past decades, due to
the increasing demand and supply of the crop, the higher production level led to a hike in …
the increasing demand and supply of the crop, the higher production level led to a hike in …
AI-enhanced remote sensing applications in Indian sugarcane research: A Comprehensive Review
Sugarcane holds a critical position in global agriculture, serving as a basis for the sugar and
bioenergy sectors. The integration of remote sensing technologies and sophisticated …
bioenergy sectors. The integration of remote sensing technologies and sophisticated …
[HTML][HTML] Intelligent classification of maize straw types from UAV remote sensing images using DenseNet201 deep transfer learning algorithm
J Zhou, X Gu, H Gong, X Yang, Q Sun, L Guo, Y Pan - Ecological Indicators, 2024 - Elsevier
China has abundant straw resources, but challenges in utilization persist. Utilization rates
need improvement, and environmental pollution from straw burning remains a significant …
need improvement, and environmental pollution from straw burning remains a significant …
Spectral indexes evaluation for satellite images classification using CNN
Sažetak Deep learning approaches are applied for a wide variety of problems, they are
being used in the remote sensing field of study and showed high performance. Recent …
being used in the remote sensing field of study and showed high performance. Recent …
[HTML][HTML] TimeSpec4LULC: a global multispectral time series database for training LULC map** models with machine learning
Land use and land cover (LULC) map** are of paramount importance to monitor and
understand the structure and dynamics of the Earth system. One of the most promising ways …
understand the structure and dynamics of the Earth system. One of the most promising ways …
Evaluation of computer vision pipeline for farm-level analytics: A case study in Sugarcane
Analyzing agricultural imagery for farm level insights has been an active area of research in
the recent times. For providing the necessary information to stakeholders-be it farmers …
the recent times. For providing the necessary information to stakeholders-be it farmers …
[HTML][HTML] Semantic segmentation using GSAUNet
Gabor filters well support computer vision tasks due to its steerable properties, that are
useful for handling image transformation such as image rotation and image scaling. In this …
useful for handling image transformation such as image rotation and image scaling. In this …