Hyperspectral image denoising via tensor low-rank prior and unsupervised deep spatial–spectral prior

WH Wu, TZ Huang, XL Zhao, JL Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Hyperspectral image (HSI) denoising is a fundamental task in remote sensing image
processing, which is helpful for HSI subsequent applications, such as unmixing and …

Vegetation ecological benefits index (VEBI): a 3D spatial model for evaluating the ecological benefits of vegetation

Z Zhang, Y Fan, Z Jiao, B Fan, J Zhou… - International Journal of …, 2023 - Taylor & Francis
Urban population explosion may increase ecological environment discomfort, thereby
affecting negatively humans' mental and physical performance. Therefore, it is important to …

[HTML][HTML] The Inversion of Rice Leaf Pigment Content: Using the Absorption Spectrum to Optimize the Vegetation Index

L Ma, Y Li, N Yuan, X Liu, Y Yan, C Zhang, S Fang… - Agriculture, 2024 - mdpi.com
The pigment content of rice leaves plays an important role in the growth and development of
rice. The accurate and rapid assessment of the pigment content of leaves is of great …

Modified Multiple Spectrum-based Vegetation Index (MMSVI): A reflectance index with high spatio-temporal generalization ability

Z Jiao, Z Zhang, A Zhang, G Sun… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Vegetation indices (VIs) are valuable in numerous remote sensing fields. Nevertheless, it is
difficult to accurately discern vegetation using VIs, causing by the effects of the shaded …

Dual Sensor Dynamics: A Comparative Analysis of Plant Health Assessment

SR Joshi, U Rakesh, S Sripad - 2024 3rd International …, 2024 - ieeexplore.ieee.org
The rapid evolution of remote sensing technologies has transformed the monitoring of plant
health, providing crucial insights for precision agriculture and environmental management …

A Federated Learning Framework and System for Land Mapping with Deep Learning and Visualisation

X Liao - 2024 - researchoutput.csu.edu.au
Land use mapping, a critical domain in urban planning and environmental management,
has witnessed unprecedented advancements driven by data-driven techniques. This thesis …