Results 101 to 110 of about 35,627 (298)

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Precise Crop Classification Using Spectral-Spatial-Location Fusion Based on Conditional Random Fields for UAV-Borne Hyperspectral Remote Sensing Imagery

Remote Sensing, 2019
The precise classification of crop types is an important basis of agricultural monitoring and crop protection. With the rapid development of unmanned aerial vehicle (UAV) technology, UAV-borne hyperspectral remote sensing imagery with high spatial ...
Lifei Wei, Ming Yu, Yajing Liang, Ziran Yuan, Can Huang, Rong Li, Yiwei Yu   +6 more
doaj   +1 more source

Adaptive band selection snapshot multispectral imaging in the VIS/NIR domain

, 2010
Hyperspectral imaging has proven its efficiency for target detection applications but the acquisition mode and the data rate are major issues when dealing with real-time detection applications.
Ferrec, Yann, Lonnoy, Jacques, Minet, Jean, Péalat, Michel, Roux, Nicolas, Taboury, Jean   +5 more
core   +1 more source

The sleeping giant needs coffee: Overlooked areas for integrating plant ecophysiology and evolutionary biology

American Journal of Botany, EarlyView.
Abstract Interpretations of evolutionary outcomes are limited without incorporation of physiological ecology, and ecophysiological interpretations would benefit from incorporating evolutionary perspectives. Although there has been a rise of studies in the last 20 years between these fields, evolutionary studies that incorporate plant physiology have ...
Haley A. Branch
wiley   +1 more source

Editorial Special Issue on Enhancement Algorithms, Methodologies and Technology for Spectral Sensing [PDF]

, 2010
The paper is an editorial issue on enhancement algorithms, methodologies and technology for spectral sensing and serves as a valuable and useful reference for researchers and technologists interested in the evolving state-of-the-art and/or the emerging ...
Gillespie, Patti, Gupta, Neelam, Hayat, Majeed M., Jensen, James O., Li, Yanqiu, Theriault, Jean-Marc, Trew, Robert J., Woolard, Dwight L.   +7 more
core   +1 more source

A Comparison of AVIRIS and Landsat for Land Use Classification at the Urban Fringe

, 2004
In this study we tested whether AVIRIS data allowed for improved land use classification over synthetic Landsat ETM+ data for a location on the urban-rural fringe of Colorado.
Goetz, Alexander F.H., Platt, Rutherford V.   +1 more
core   +1 more source

Physically Based Predictive Modelling of Archaeological Proxies Using Cropmarks

Archaeological Prospection, EarlyView.
ABSTRACT Cropmarks, as archaeological proxies, offer a valuable means of detecting buried sites through remote sensing. Yet, the scalability of such methods across varied archaeological contexts remains underexplored, and AI‐based modelling approaches are still in early stages.
Elias Gravanis, Athos Agapiou
wiley   +1 more source

Use of waveform lidar and hyperspectral sensors to assess selected spatial and structural patterns associated with recent and repeat disturbance and the abundance of sugar maple (Acer saccharum Marsh.) in a temperate mixed hardwood and conifer forest. [PDF]

, 2011
Waveform lidar imagery was acquired on September 26, 1999 over the Bartlett Experimental Forest (BEF) in New Hampshire (USA) using NASA\u27s Laser Vegetation Imaging Sensor (LVIS).
Anderson, Jeanne E, Blair, J. Bryan, Dubayah, Ralph O, Ducey, Mark J., Fast, Andrew J., Hofton, Michelle A, Hyde, Peter, Lee, Thomas D, Lepine, Lucie C., Martin, Mary E, Peterson, Birgit E, Smith, Marie-Louise   +11 more
core   +2 more sources

Archaeological Damage Assessment in Conflict Zones: Integrating Satellite Imagery and Ground Surveys in Daraa, Syria

Archaeological Prospection, EarlyView.
ABSTRACT Satellite remote sensing is among the most significant modern methodologies supporting field archaeology. In addition to its efficiency in identifying archaeological sites, remote sensing offers a safe and cost‐effective approach in conflict zones.
Amal Al Kassem, Kristen Hopper, Ismael M. Ibraheem, Andreas Maier, Mohammad Khair Nassrallah, Jürgen Richter   +5 more
wiley   +1 more source

A Novel Fully Convolutional Auto-Encoder Based on Dual Clustering and Latent Feature Adversarial Consistency for Hyperspectral Anomaly Detection

Remote Sensing
With the development of artificial intelligence, the ability to capture the background characteristics of hyperspectral imagery (HSI) has improved, showing promising performance in hyperspectral anomaly detection (HAD) tasks.
Rui Zhao, Zhiwei Yang, Xiangchao Meng, Feng Shao   +3 more
doaj   +1 more source