Results 101 to 110 of about 3,522,681 (315)

A Comprehensive Correction Method for Radiation Distortion of Multi-Strip Airborne Hyperspectral Images

Remote Sensing, 2023
Airborne hyperspectral imaging plays an increasingly important role in environmental monitoring. However, due to the limitations of the acquisition conditions, there are uneven radiation and chromatic aberrations in the mosaic data.
Yibo Zhao, Yu Tian, Shaogang Lei, Yuanyuan Li, Xia Hua, Dong Guo, Chuning Ji   +6 more
doaj   +1 more source

Mapping the shallow marine benthic habitats of Rottnest Island, Western Australia [PDF]

, 2007
The introduction of new, high resolution hyperspectral sensors has led to growing interest in the development of techniques to utilise data from these instruments for mapping the shallow marine environment.
Beckley, L.E., Harvey, M., Heege, T., Pinnel, N., Kobryn, H.T., Hausknecht, P.   +5 more
core  

Influence of the Bubbles on the Hyperspectral Reflectance and Water Color Products

IEEE Access
Bubble clouds produced by wind-induced breaking surface waves are highly reflective features that significantly influence the spectral shape and magnitude of remote sensing reflectance in sea surface waters and introduce uncertainties in the water colour products derived from airborne and satellite data.
Chavapati Gouse Sandhani, Palanisamy Shanmugam, Sundarabalan V. Balasubramanian, S. A. Sannasiraj   +3 more
openaire   +3 more sources

Analysis of Different Hyperspectral Variables for Diagnosing Leaf Nitrogen Accumulation in Wheat

Frontiers in Plant Science, 2018
Hyperspectral remote sensing is a rapid non-destructive method for diagnosing nitrogen status in wheat crops. In this study, a quantitative correlation was associated with following parameters: leaf nitrogen accumulation (LNA), raw hyperspectral ...
Changwei Tan, Ying Du, Jian Zhou, Dunliang Wang, Ming Luo, Yongjian Zhang, Wenshan Guo   +6 more
doaj   +1 more source

Hyperspectral leaf reflectance simulation considering internal structure

Scientific Reports
The mainstream radiation transport models represented by the PROSPECT model regard the internal substances of the leaf as uniformly distributed. The influence of the uneven distribution of substances inside the leaf on the spectra of the leaf was not considered.
Fenghua Yu, Chenyi Xu, Shuang Xiang, Juchi Bai, Zhongyu Jin, Honggang Zhang, Shengfan Zhu   +6 more
openaire   +3 more sources

Flexible Integration of Structurally Diverse Spatial Multi‐Omics With AgaeSMO

Advanced Science, EarlyView.
AgaeSMO is a versatile and robust deep learning framework for flexible cross‐integration of spatial multi‐omics data. Leveraging a GATs network with a graph attention module, it learns joint embedding across diverse modalities, enabling integration of both structurally paired (e.g., spatial transcriptome‐epigenome, transcriptome‐proteome, transcriptome‐
Kunpeng Liu, Jinpo Su, Haotian Zhou, Yilin Shen, Mengke Qin, Yingjie Luo, Tiancai Wang, Zhenglin Chen, Yuanyuan Wang, Xiaokai Ma   +9 more
wiley   +1 more source

Potassium‐Impurity‐Modulated Self‐Trapped Excitons and Energy Transfer in Phase‐Separated, Mn4+‐Doped Li2HfF6

Advanced Science, EarlyView.
Li2HfF6 contains two spectroscopically distinct self‐trapped excitons (STEs): intrinsic STE1 and redshifted, K‐associated STE2. Potassium incorporation stabilizes STE2, which selectively sensitizes Mn4+ red emission. This work uncovers the often‐overlooked role of trace K impurities, demonstrating impurity modulation as an effective strategy for tuning
Menuka Adhikari, Thomas Murray, Cameron J. Lewis, Jett Wu, Hari Adhikari, Cheng Li, Jianguo Wen, Hui Wu, Zhiping Luo   +8 more
wiley   +1 more source

An alternative approach to mapping pigments in paintings with hyperspectral reflectance image cubes using artificial intelligence

Heritage Science, 2020
Spectral imaging modalities, including reflectance and X-ray fluorescence, play an important role in conservation science. In reflectance hyperspectral imaging, the data are classified into areas having similar spectra and turned into labeled pigment ...
T. Kleynhans, Catherine M. Schmidt Patterson, K. Dooley, D. Messinger, J. Delaney   +4 more
semanticscholar   +1 more source

Snapshot Spatiotemporal‐Spectral Imaging Enabled by Joint Photonic Encoding

Advanced Science, EarlyView.
Spectra4D enables snapshot spatiotemporal‐spectral imaging by combining high‐speed DMD temporal modulation with CMOS‐integrated Fabry‐Pérot spectral encoding. From a single 2D measurement, a dual‐mask‐guided reconstruction network recovers multiple time‐resolved hyperspectral frames, enabling high‐fidelity observation of rapidly evolving spatial ...
Chunyu Chen, Junren Wen, Hao Sha, Chenying Yang, Ziyang Chen, Xiaochen Feng, Taiqin Chen, Wenzhen Zou, Xiangyu Chen, Xiangyang Ji, Guojun Liu, Yongbing Zhang   +11 more
wiley   +1 more source

Method for Obtaining Water-Leaving Reflectance from Unmanned Aerial Vehicle Hyperspectral Remote Sensing Based on Air–Ground Collaborative Calibration for Water Quality Monitoring

Remote Sensing
Unmanned aerial vehicle (UAV) hyperspectral remote sensing imaging systems have demonstrated significant potential for water quality monitoring. However, accurately obtaining water-leaving reflectance from UAV imagery remains challenging due to complex ...
Hong Liu, Xingsong Hou, Bingliang Hu, Tao Yu, Zhoufeng Zhang, Xiao Liu, Xueji Wang, Zhengxuan Tan   +7 more
doaj   +1 more source