Results 51 to 60 of about 345,137 (201)

Underwater Hyperspectral Target Detection with Band Selection

Remote Sensing, 2020
Compared to multi-spectral imagery, hyperspectral imagery has very high spectral resolution with abundant spectral information. In underwater target detection, hyperspectral technology can be advantageous in the sense of a poor underwater imaging ...
Xianping Fu, Xiaodi Shang, Xudong Sun, Haoyang Yu, Meiping Song, Chein-I Chang   +5 more
doaj   +1 more source

Hyperspectral Imagery for Environmental Urban Planning [PDF]

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
A strong intern dynamic characterizes towns, a very high spatial heterogeneity of their elements, their 3D geometric shapes (horizontal and vertical) inducing shadows, and their large variety of materials. These characteristics make the collection of information of land surface properties and urban descriptors more delicate.
Weber, Christiane, Aguejdad, Rahim, Briottet, Xavier, Aval, Josselin, Fabre, Sophie, Demuynck, Jean, Zenou, Emmanuel, Deville, Yannick, Karoui, Moussa Sofiane, Zohra, Fatima, Gadal, Sébastien, Ouerghemmi, Walid, Mallet, Clément, Le Bris, Arnaud, Chehata, Nesrine   +14 more
openaire   +2 more sources

Bayesian estimation of linear mixtures using the normal compositional model. Application to hyperspectral imagery [PDF]

, 2010
This paper studies a new Bayesian unmixing algorithm for hyperspectral images. Each pixel of the image is modeled as a linear combination of so-called endmembers.
Eches, Olivier, Dobigeon, Nicolas, Tourneret, Jean-Yves, Mailhes, Corinne   +3 more
core   +1 more source

Cross-modal integration framework for soil organic matter estimation using proximal and satellite spectral data: Modeling optimization with particle size effects and spatial similarity

Geoderma
Remote sensing (RS) technology enables the rapid and accurate acquisition of soil organic matter (SOM) content, which is crucial for ensuring food security and promoting precision agriculture.
Mingchang Wang, Xingnan Liu, Yilin Bao, Jialin Cai, Liheng Liang, Yiting Fan, Hongchao Fan   +6 more
doaj   +1 more source

Wavelet based segmentation of hyperspectral colon tissue imagery [PDF]

, 2003
Segmentation is an early stage for the automated classification of tissue cells between normal and malignant types. We present an algorithm for unsupervised segmentation of images of hyperspectral human colon tissue cells into their constituent parts by ...
Rajpoot, Nasir M. (Nasir Mahmood), Rajpoot, Kashif   +1 more
core   +1 more source

Parallel Data Compression for Hyperspectral Imagery [PDF]

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008
The high dimensionality of hyperspectral imagery challenges image processing and analysis. It has been shown that hyperspectral compression can be achieved by principal component analysis (PCA) for spectral decorrelation followed by the JPEG2000-based coding.
He Yang, Qian Du 0001, Wei Zhu 0005, Ioana Banicescu, James E. Fowler   +4 more
openaire   +1 more source

Fine-Scale Mangrove Species Classification Based on UAV Multispectral and Hyperspectral Remote Sensing Using Machine Learning

Remote Sensing
Mangrove ecosystems play an irreplaceable role in coastal environments by providing essential ecosystem services. Diverse mangrove species have different functions due to their morphological and physiological characteristics.
Yuanzheng Yang, Zhouju Meng, Jiaxing Zu, Wenhua Cai, Jiali Wang, Hongxin Su, Jian Yang   +6 more
doaj   +1 more source

Field-Based High-Quality Emissivity Spectra Measurement Using a Fourier Transform Thermal Infrared Hyperspectral Imager

Remote Sensing, 2021
Emissivity information derived from thermal infrared (TIR) hyperspectral imagery has the advantages of both high spatial and spectral resolutions, which facilitate the detection and identification of the subtle spectral features of ground targets ...
Lyuzhou Gao, Liqin Cao, Yanfei Zhong, Zhaoyang Jia   +3 more
doaj   +1 more source

Nonlinear unmixing of hyperspectral images: Models and algorithms [PDF]

, 2013
When considering the problem of unmixing hyperspectral images, most of the literature in the geoscience and image processing areas relies on the widely used linear mixing model (LMM).
McLaughlin, Stephen; id_orcid, Hero, Alfred O, Jean-yves Tourneret, Cédric Richard, Hero, Alfred O., Dobigeon, Nicolas, McLaughlin, Steve, Bermudez, José Carlos M., Alfred O. Hero, Stephen Mclaughlin, Bermudez, José Carlos Moreira, Nicolas Dobigeon, Richard, Cédric, Tourneret, Jean-Yves, José Carlos M. Bermudez, Bermudez, José Carlos M   +14 more
core   +1 more source

Feasibility of Invasive Grass Detection in a Desertscrub Community Using Hyperspectral Field Measurements and Landsat TM Imagery

Remote Sensing, 2011
Invasive species’ phenologies often contrast with those of native species, representing opportunities for detection of invasive species with multi-temporal remote sensing.
Stuart E. Marsh, Aaryn D. Olsson, Willem J.D. van Leeuwen   +2 more
doaj   +1 more source