Results 41 to 50 of about 11,195 (191)

Adaptation of Zerotrees Using Signed Binary Digit Representations for 3D Image Coding [PDF]

, 2007
Zerotrees of wavelet coefficients have shown a good adaptability for the compression of three-dimensional images. EZW, the original algorithm using zerotree, shows good performance and was successfully adapted to 3D image compression.
Christophe, Emmanuel, Duhamel, Pierre, Mailhes, Corinne   +2 more
core   +2 more sources

Mangrove classification using airborne hyperspectral AVIRIS-NG and comparing with other spaceborne hyperspectral and multispectral data

, 2020
Application of remote sensing makes the assessment and monitoring of mangroves both time and cost-effective. In this study, the capacity of AVIRIS-NG data in discriminating different mangrove species of Lothian Island of Indian Sundarbans has been ...
Jyoti Prakash Hati, Sourav Samanta, N. Chaube, A. Misra, Sandip Giri, N. Pramanick, K. Gupta, S. Majumdar, A. Chanda, A. Mukhopadhyay, S. Hazra   +10 more
semanticscholar   +1 more source

Detection and quantification of CH4 plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data

Atmospheric Measurement Techniques, 2020
. Methane is the second most important anthropogenic greenhouse gas in the Earth's atmosphere. To effectively reduce these emissions, a good knowledge of source locations and strengths is required. Airborne remote sensing instruments such as the Airborne
J. Borchardt, K. Gerilowski, S. Krautwurst, H. Bovensmann, A. Thorpe, D. Thompson, C. Frankenberg, C. Miller, R. Duren, J. Burrows   +9 more
semanticscholar   +1 more source

Clustered Multitask Nonnegative Matrix Factorization for Spectral Unmixing of Hyperspectral Data

, 2019
In this paper, the new algorithm based on clustered multitask network is proposed to solve spectral unmixing problem in hyperspectral imagery. In the proposed algorithm, the clustered network is employed.
Khoshsokhan, Sara, Rajabi, Roozbeh, Zayyani, Hadi   +2 more
core   +1 more source

Using Network Observations to Constrain CO and CO2 Emissions From an Oil Refinery in the San Francisco Bay Area

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 6, 28 March 2026.
Abstract Point sources are often major contributors of greenhouse gas and air pollutant emissions in urban areas. Dense air monitoring networks provide a unique avenue for studying point source emissions over long time periods. Here, we use the Berkeley Environmental Air‐quality and CO2 Network (BEACO2N) to study CO2 and air pollutant emissions from an
Milan Y. Patel, Naomi G. Asimow, Anna R. Winter, Yishu Zhu, Ronald C. Cohen   +4 more
wiley   +1 more source

Two orders of wall‐to‐wall geographic data

Area, Volume 58, Issue 1, March 2026.
Short Abstract The use of the term ‘wall‐to‐wall’ to describe geographically extensive data without any singular definition in the remote sensing and geographically related analysis. This work presents an assessment of the application of the term in the scientific literature. Abstract From personal observations of recent published works, the term “wall‐
Pete Bettinger, Krista Merry, Roger C. Lowe III   +2 more
wiley   +1 more source

Mineral Mapping Using Simulated Worldview-3 Short-Wave-Infrared Imagery

Remote Sensing, 2013
WorldView commercial imaging satellites comprise a constellation developed by DigitalGlobe Inc. (Longmont, CO, USA). Worldview-3 (WV-3), currently planned for launch in 2014, will have 8 spectral bands in the Visible and Near-Infrared (VNIR), and an ...
Sandra L. Perry, Fred A. Kruse
doaj   +1 more source

Investigating the Utility of Wavelet Transforms for Inverting a 3-D Radiative Transfer Model Using Hyperspectral Data to Retrieve Forest LAI

Remote Sensing, 2013
The need for an efficient and standard technique for optimal spectral sampling of hyperspectral data during the inversion of canopy reflectance models has been the subject of many studies. The objective of this study was to investigate the utility of the
Jean P. Gastellu-Etchegorry, Nilam Kayastha, Shawn P. Serbin, Valerie A. Thomas, Randolph H. Wynne, Asim Banskota, Philip A. Townsend   +6 more
doaj   +1 more source

Unmixing of Hyperspectral Data Using Robust Statistics-based NMF

, 2012
Mixed pixels are presented in hyperspectral images due to low spatial resolution of hyperspectral sensors. Spectral unmixing decomposes mixed pixels spectra into endmembers spectra and abundance fractions.
Ghassemian, Hassan, Rajabi, Roozbeh
core   +1 more source

Hyperspectral Imaging: The Intelligent Eye to Uncover the Password of Plant Science

Modern Agriculture, Volume 3, Issue 2, December 2025.
Hyperspectral imaging (HSI) has emerged as a powerful non‐destructive technique for characterisation of the plant phenotype and physiological traits. The ongoing development of cost‐effective hardware, coupled with standardised acquisition protocols and open‐access spectral libraries, is accelerating its integration with multi‐omics approaches to ...
Jingyan Song, Haifeng Liang, Bingjie Lu, Jing Guo, Yuan Gao, Xiao Hu, Manlin Yang, Xiaofan Li, Zhenyu Wang, Yongqi Chen, Yinyin Zhang, Shen Su, Zhangyun Gao, Shijie Li, Ping Chen, Jing Wang, Wanneng Yang, Hui Feng   +17 more
wiley   +1 more source