过去一年中添加的文章，按日期排序
Examining UAV-based LiDAR, Multispectral, Hyperspectral and Precision Photogrammetry Approaches for Tidal Salt Marsh Environments
AC Curcio - 2024 - rodin.uca.es
67 天前 - … The study seeks to create statistical models for accurate … be necessary in the future
to delve deeper into the topics … a highresolution hyperspectral imaging system mounted on a …
to delve deeper into the topics … a highresolution hyperspectral imaging system mounted on a …
Traditional to Transformers: A Survey on Current Trends and Future Prospects for Hyperspectral Image Classification
97 天前 - … learning models to the emerging use of transformers. … in deep learning for
Hyperspectral image classification. Additionally, we discuss the potential of transformer-based …
Hyperspectral image classification. Additionally, we discuss the potential of transformer-based …
Land use/land cover (LULC) classification using hyperspectral images: a review
C Lou, MAA Al-qaness, D AL-Alimi… - Geo-spatial …, 2024 - Taylor & Francis
106 天前 - … Our study unfolds in fourfold approaches. First, we present a … Third, we explore
traditional machine learning models and … trends and related challenges of hyperspectral image …
traditional machine learning models and … trends and related challenges of hyperspectral image …
Wheat Powdery Mildew Automatic Identification Through YOLOv8 Instance Segmentation
J Sharma, D Kumar, S Chattopadhay… - … (Trends and Future …, 2024 - ieeexplore.ieee.org
138 天前 - … consuming characteristics of conventional detection methods … segmentation model,
were employed in this study to … in this work comprises hyperspectral pictures of wheat crops …
were employed in this study to … in this work comprises hyperspectral pictures of wheat crops …
Precision in wheat flour classification: Harnessing the power of deep learning and two-dimensional correlation spectrum (2DCOS)
T Zhang, Y Wang, J Sun, J Liang, B Wang, X Xu… - … Acta Part A: Molecular …, 2024 - Elsevier
147 天前 - … This study offers a fresh perspective on wheat flour type … and disadvantages of these
typical spectral preprocessing methods … 2(a) representing the original spectral image. Five …
typical spectral preprocessing methods … 2(a) representing the original spectral image. Five …
Advancing Hyperspectral Imaging Classification with Liquid Time-Constant Neural Networks: Bridging Deep Learning and Spatiotemporal Analysis
192 天前 - … This innovative research opens 27 up possibilities for HSI … (HSI) are composed of
conventional 2-D images and tens … Therefore, 76 this study proposed to utilize LTCNs and its …
conventional 2-D images and tens … Therefore, 76 this study proposed to utilize LTCNs and its …
Advancing Plant Identification Through Leaf Image Analysis: A Comprehensive Review of Literature and Techniques
PS Prasad, A Senthilrajan - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
320 天前 - … this survey concludes with a discussion of potential future research directions and
emerging trends in … Integrating other modalities, such as hyperspectral imaging, physiological …
emerging trends in … Integrating other modalities, such as hyperspectral imaging, physiological …
[图书][B] Heterogenous Computational Intelligence in Internet of Things
326 天前 - … networks as well as conventional ones. By enabling multi… challenges that require
further study, including the design of … in the SDNs which is considered as research perspective. …
further study, including the design of … in the SDNs which is considered as research perspective. …