Results 101 to 110 of about 2,642,787 (294)

Mapping Lupinus polyphyllus density and distribution along road verges using unmanned aerial vehicle (UAV)–based remote sensing

Applications in Plant Sciences, EarlyView.
Abstract Premise Road verges function as refuges for semi‐natural species, but they can also facilitate the spread of non‐native plants such as Lupinus polyphyllus. Unmanned aerial vehicle (UAV)–based remote sensing is a promising tool for mapping these species; however, its application in roadside contexts remains limited.
Elin L. Blomqvist, Jan‐Olov Andersson, R. Lutz Eckstein, Jan Haas   +3 more
wiley   +1 more source

Tackling cancer stemness with nanotechnology in the era of precision medicine

BMEMat, EarlyView.
Precise customization of nanoparticles (NPs) enables active targeting of cancer stem cells (CSCs), thereby improving drug delivery and therapeutic efficacy. NP‐based probing enhances CSC detection through imaging and liquid biopsy, whereas diverse therapeutic payloads improve therapeutic outcomes.
Shaolei Guo, Shun Yao, Lihui Meng, Chunyuan Chen, Yuechu Lucinda Lu, Rong Lu, Kashif Rafiq Zahid, Umar Raza, Qingzhi Wu, Wenli Chen   +9 more
wiley   +1 more source

AMHF-Net: A Multispectral and Hyperspectral Image Fusion Network for Arbitrary-Band Hyperspectral Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral and multispectral image fusion serves as an effective approach to obtain high-resolution hyperspectral images at low cost. Current deep learning-based hyperspectral image fusion methods often focus on fusing images with a fixed number of ...
Shunyao Wang, Qi Xie, Qian Zhao, Deyu Meng   +3 more
doaj   +1 more source

Hyperspectral Imaging for Peach Ripening Assessment [PDF]

, 2010
The present research is focused on the application of artificial vision to peach ripening assessment, avoiding multiplicative and additive effect. Original images were acquired with a hyperspectral camera.
Diezma Iglesias, Belen, Roger, Jean-Michel, Lleó García, Lourdes, Herrero Langreo, Ana   +3 more
core  

Illumination invariance and shadow compensation via spectro-polarimetry technique [PDF]

, 2013
A major problem for obtaining target reflectance via hyperspectral imaging systems is the presence of illumination and shadow effects. These factors are common artefacts, especially when dealing with a hyperspectral imaging system that has sensors in the
Jackman, James, Soori, Umair, Hong, Kan, Ibrahim, Izzati, Richardson, Mark A., Yuen, Peter W. T., Chen, Tong   +6 more
core   +1 more source

Comparative Assessment of Landsat‐8 and SPOT‐7 Satellite Data With Field Spectral Measurements for Estimating Plant Diversity in Sandy Grasslands

Biological Diversity, EarlyView.
We compared Landsat‐8 OLI, SPOT, and hyperspectral data for estimating vascular plant diversity in China's Hunshandak Sandland. SPOT data showed the strongest correlation with alpha diversity, followed by hyperspectral data, with Landsat‐8 performing the weakest.
Ying Ye, Jianxiong Lan, Xiaoyue Zhang, Yu Peng   +3 more
wiley   +1 more source

HyperGAN: A Hyperspectral Image Fusion Approach Based on Generative Adversarial Networks

Remote Sensing
The objective of hyperspectral pansharpening is to fuse low-resolution hyperspectral images (LR-HSI) with corresponding panchromatic (PAN) images to generate high-resolution hyperspectral images (HR-HSI).
Jing Wang, Xu Zhu, Linhai Jing, Yunwei Tang, Hui Li, Zhengqing Xiao, Haifeng Ding   +6 more
doaj   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

A Prediction-Based Spatial-Spectral Adaptive Hyperspectral Compressive Sensing Algorithm

Sensors, 2018
In order to improve the performance of storage and transmission of massive hyperspectral data, a prediction-based spatial-spectral adaptive hyperspectral compressive sensing (PSSAHCS) algorithm is proposed.
Ping Xu, Bingqiang Chen, Lingyun Xue, Jingcheng Zhang, Lei Zhu   +4 more
doaj   +1 more source

Effect of Sequential and Combined Space‐Based Stressors on Perovskite Solar Cell Stability

EcoEnergy, EarlyView.
A correlation between loss in performance and mobile ion concentration has been established by sequential stressing of perovskite solar cells under Low Earth Orbit conditions with exposure to protons, light, and thermal cycling. It is shown that the loss in performance increases when ion concentration increases and vice versa.
Saivineeth Penukula, Brandon K. Durant, Megh N. Khanal, Mohin Sharma, Todd A. Byers, Vincent R. Whiteside, Haley P. Harblin, Ian R. Sellers, Bibhudutta Rout, Nicholas Rolston   +9 more
wiley   +1 more source