Results 81 to 90 of about 211,790 (281)

Remote sensing for Mapping TSM concentration in Mahakam Delta: an analytical approach [PDF]

, 2004
The Indonesian coastal zones have always been under heavy pressures, including those from fisheries, oil industries and sea transportation. The presence of these activities carry a large portion of risk in damaging the environment as well as in ...
Budhiman, S., Hobma, T. W., Vekerdy, Zoltán   +2 more
core  

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Design Method of a Wide-Field, Dual-Slit, Low-Distortion, and High-Sensitivity Hyperspectral Imager

Sensors
To increase target acquisition probability and the signal-to-noise ratio (SNR) of hyperspectral images, this paper presents a wide-field, dual-slit, low-distortion, and high-sensitivity Offner hyperspectral imager, with a wavelength range of 0.4 μm to 0 ...
Xijie Li, Siyuan Li, Zhinan Zhang, Xiangpeng Feng, Zhong Shen, Xin Lu, Ming Gao   +6 more
doaj   +1 more source

Optical Technologies for UV Remote Sensing Instruments [PDF]

Over the last decade significant advances in technology have made possible development of instruments with substantially improved efficiency in the UV spectral region.
Boucarut, R. A., Content, D. A., Fleetwood, C. M., Gum, J. S., Keski-Kuha, R. A. M., Leviton, D. B., Madison, T. J., Osantowski, J. F., Saha, T. T., Wright, G. A.   +9 more
core   +1 more source

Reflective Ghost Imaging through Turbulence

, 2011
Recent work has indicated that ghost imaging may have applications in standoff sensing. However, most theoretical work has addressed transmission-based ghost imaging.
A. Ishimaru, G. R. Osche, J. H. Shapiro, J. W. Goodman, Jeffrey H. Shapiro, Nicholas D. Hardy   +5 more
core   +1 more source

DNA‐Templated 2D Heterostructures as Phototriggered Dynamic Nanohybrids: From Releasing Molecular Loads to Controlling Enzyme Biocatalytic Function

Advanced Functional Materials, EarlyView.
DNA strands are employed both as dynamic linkers and nanoscale templates for the integration of Ag2S nanoparticles on MoS2, which in turn imparted photothermal responsiveness; this feature permits the selective cargo (fluorophore, quantum dots or an enzyme) release from the MoS2 surface in response to local heat induced by light irradiation.
Kai Chen, Haosen Miao, Weiying Hong, Matteo Palma   +3 more
wiley   +1 more source

Hyperspectral Ghost Image Residual Correction Method Based on PSF Degradation Model

Remote Sensing
In hyperspectral images, ghost image residuals exceeding a certain threshold not only reduce the recognition accuracy of the imaging detection system but also decrease the target identification rate.
Xijie Li, Jiating Yang, Tieqiao Chen, Siyuan Li, Pengchong Wang, Sai Zhong, Ming Gao, Bingliang Hu   +7 more
doaj   +1 more source

Earth feature identification for onboard multispectral data editing: Computational experiments [PDF]

A computational model of the processes involved in multispectral remote sensing and data classification is developed as a tool for designing smart sensors which can process, edit, and classify the data that they acquire.
Aherron, R. M., Arduini, R. F., Davis, R. E., Huck, R. O., Park, S. K.   +4 more
core   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Water quality estimation by optical remote sensing in boreal lakes [PDF]

, 2012
Monitoring of lakes is mainly based on collection of water samples, which are transported to a laboratory for analyses. In lake-rich regions gathering of water quality information is challenging, because only a small proportion of the lakes can be ...
Kallio, Kari
core