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 …
A research review on deep learning combined with hyperspectral Imaging in multiscale agricultural sensing
L Shuai, Z Li, Z Chen, D Luo, J Mu - Computers and Electronics in …, 2024 - Elsevier
Efficient and automated data acquisition techniques, as well as intelligent and accurate data
processing and analysis techniques, are essential for the advancement of precision …
processing and analysis techniques, are essential for the advancement of precision …
[HTML][HTML] Rapidly and accurately determining the resin and volatile content of CF/PPBESK thermoplastic prepreg by NIR spectroscopy
H Hao, S Cheng, Z Ren, L Zhang, B Wang, N Li… - Composites Part A …, 2023 - Elsevier
In this study, near infrared (NIR) spectroscopy was used to predict the resin content and
volatile content of CF/PPBESK prepreg. Mathematical models between resin and volatile …
volatile content of CF/PPBESK prepreg. Mathematical models between resin and volatile …
Evaluating the dry matter content of raw yams using hyperspectral imaging spectroscopy and machine learning
Yams (Dioscorea spp.) are important food and commercial crops in West African countries.
They contribute significantly to global food production and provide dietary energy. The …
They contribute significantly to global food production and provide dietary energy. The …
A brief history of remote sensing of soybean
The last 20 years have been a period of significant advancement in the tools available for
remote sensing of soybean [Glycine max (L.) Merr.] in terms of price, ease of use, quality of …
remote sensing of soybean [Glycine max (L.) Merr.] in terms of price, ease of use, quality of …
Improved retrieval of phylogenetic signals from normalized foliar reflectance spectra in Neotropical forest gaps
Distinct data pre-processing techniques affect features derived from spectral data, such as
the occurrence of phylogenetic signals in the foliar spectra. This study investigates how …
the occurrence of phylogenetic signals in the foliar spectra. This study investigates how …
Interpretable Machine-Learning for Predicting Molecular Weight of PLA Based on Artificial Bee Colony Optimization Algorithm and Adaptive Neurofuzzy Inference …
This article discusses the integration of the artificial bee colony (ABC) algorithm with two
supervised learning methods, namely artificial neural network (ANN) and adaptive network …
supervised learning methods, namely artificial neural network (ANN) and adaptive network …