Results 21 to 30 of about 2,120,250 (297)

Spectral variability in fine-scale drone-based imaging spectroscopy does not impede detection of target invasive plant species

Frontiers in Remote Sensing, 2023
Land managers are making concerted efforts to control the spread of invasive plants, a task that demands extensive ecosystem monitoring, for which unoccupied aerial vehicles (UAVs or drones) are becoming increasingly popular.
Kelsey Huelsman, Howard Epstein, Xi Yang, Lydia Mullori, Lucie Červená, Roderick Walker   +5 more
doaj   +1 more source

Deep Constrained Energy Minimization for Hyperspectral Target Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Hyperspectral images contain abundant spectral information, which provides great potential for detecting targets that cannot be analyzed with color images.
Xiaoli Yang, Min Zhao, Shuaikai Shi, Jie Chen   +3 more
doaj   +1 more source

Modeling and Unsupervised Unmixing Based on Spectral Variability for Hyperspectral Oceanic Remote Sensing Data with Adjacency Effects

Remote Sensing, 2023
In a previous paper, we introduced (i) a specific hyperspectral mixing model for the sea bottom, based on a detailed physical analysis that includes the adjacency effect, and (ii) an associated unmixing method that is supervised (i.e., not blind) in the ...
Yannick Deville, Salah-Eddine Brezini, Fatima Zohra Benhalouche, Moussa Sofiane Karoui, Mireille Guillaume, Xavier Lenot, Bruno Lafrance, Malik Chami, Sylvain Jay, Audrey Minghelli, Xavier Briottet, Véronique Serfaty   +11 more
doaj   +1 more source

Spectral Variability in a Multilinear Mixing Model [PDF]

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
We present a new method for spectral unmixing which takes both nonlinear mixing and spectral variability into account. This is accomplished by combining the multiple endmember spectral mixture analysis (MESMA) approach with the recently developed multilinear mixing model (MLM).
Thorvald Dox, Rob Heylen, Paul Scheunders   +2 more
openaire   +2 more sources

Spatiotemporal Continuous Impervious Surface Mapping by Fusion of Landsat Time Series Data and Google Earth Imagery

Remote Sensing, 2021
The monitoring of impervious surfaces in urban areas using remote sensing with fine spatial and temporal resolutions is crucial for monitoring urban development and environmental changes in urban areas.
Rui Chen, Xiaodong Li, Yihang Zhang, Pu Zhou, Yalan Wang, Lingfei Shi, Lai Jiang, Feng Ling, Yun Du   +8 more
doaj   +1 more source

SURFACE ALBEDO AND SPECTRAL VARIABILITY OF CERES [PDF]

The Astrophysical Journal Letters, 2016
ABSTRACT Previous observations suggested that Ceres has active, but possibly sporadic, water outgassing as well as possibly varying spectral characteristics over a timescale of months. We used all available data of Ceres collected in the past three decades from the ground and the Hubble Space Telescope, as well as the newly acquired ...
Jian-Yang Li (李荐扬), Vishnu Reddy, Andreas Nathues, Lucille Le Corre, Matthew R. M. Izawa, Edward A. Cloutis, Mark V. Sykes, Uri Carsenty, Julie C. Castillo-Rogez, Martin Hoffmann, Ralf Jaumann, Katrin Krohn, Stefano Mottola, Thomas H. Prettyman, Michael Schaefer, Paul Schenk, Stefan E. Schröder, David A. Williams, David E. Smith, Maria T. Zuber, Alexander S. Konopliv, Ryan S. Park, Carol A. Raymond, Christopher T. Russell   +23 more
openaire   +6 more sources

An Efficient Attention-Based Convolutional Neural Network That Reduces the Effects of Spectral Variability for Hyperspectral Unmixing

Applied Sciences, 2022
The purpose of hyperspectral unmixing (HU) is to obtain the spectral features of materials (endmembers) and their proportion (abundance) in a hyperspectral image (HSI).
Baohua Jin, Yunfei Zhu, Wei Huang, Qiqiang Chen, Sijia Li   +4 more
doaj   +1 more source

Heart rate variability analysis in general medicine. [PDF]

, 2003
Autonomic nervous system plays an integral role in homeostasis. Autonomic modulation can frequently be altered in patients with cardiac disorders as well as in patients with other critical illnesses or injuries.
Malik, M, Gang, Y
core   +3 more sources

Spectral Unmixing Based Approach for Measuring Gas Flaring from VIIRS NTL Remote Sensing Data: Case of the Flare FIT-M8-101A-1U, Algeria

Remote Sensing, 2022
During the oil extraction procedure, natural gases escape from wells, and the process of recuperating such gases requires important investments from oil and gas companies. That is why, most often, they favor burning them with flares. This practice, which
Fatima Zohra Benhalouche, Farah Benharrats, Mohammed Amine Bouhlala, Moussa Sofiane Karoui   +3 more
doaj   +1 more source

An Improved Cloud Masking Method for GOCI Data over Turbid Coastal Waters

Remote Sensing, 2021
Clouds severely hinder the radiative transmission of visible light; thus, correctly masking cloudy and non-cloudy pixels is a preliminary step in processing ocean color remote sensing data.
Shiming Lu, Mingjun He, Shuangyan He, Shuo He, Yunhe Pan, Wenbin Yin, Peiliang Li   +6 more
doaj   +1 more source