Results 41 to 50 of about 345,137 (201)
Remote Sensing, 2021 The chlorophyll-a (Chl-a) concentration of eutrophic lakes fluctuates significantly due to the disturbance of wind and anthropogenic activities on the water body. Consequently, estimation of the Chl-a concentration has become an immense challenge. Due to
Runfei Zhang +10 more
doaj +1 more source
Remote Sensing, 2021 Hyperspectral imagery has been widely used in precision agriculture due to its rich spectral characteristics. With the rapid development of remote sensing technology, the airborne hyperspectral imagery shows detailed spatial information and temporal ...
Lifei Wei +7 more
doaj +1 more source
Nonlinear spectral unmixing of hyperspectral images using Gaussian processes [PDF]
, 2012 This paper presents an unsupervised algorithm for nonlinear unmixing of hyperspectral images. The proposed model assumes that the pixel reflectances result from a nonlinear function of the abundance vectors associated with the pure spectral components ...
Altmann, Yoann +5 more
core +1 more source
Discriminative sparse representations in hyperspectral imagery [PDF]
2010 IEEE International Conference on Image Processing, 2010 Recent advances in sparse modeling and dictionary learning for discriminative applications show high potential for numerous classification tasks. In this paper, we show that highly accurate material classification from hyperspectral imagery (HSI) can be obtained with these models, even when the data is reconstructed from a very small percentage of the ...
Alexey Castrodad +5 more
openaire +2 more sources
Fuzzy spectral and spatial feature integration for classification of nonferrous materials in hyperspectral data [PDF]
, 2009 Hyperspectral data allows the construction of more elaborate models to sample the properties of the nonferrous materials than the standard RGB color representation.
Iriondo, Pedro M. +4 more
core +2 more sources
Assessment of hydrogen fluoride damage to vegetation using optical remote sensing data [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 This research assesses damage to vegetation from accidental gaseous hydrogen fluoride leakage, through the analysis of spectral features of the damaged plants using digital aerial photographs and airborne hyperspectral imagery.
C. U. Hyun, J. S. Lee, I. Lee
doaj +1 more source
Semi-supervised linear spectral unmixing using a hierarchical Bayesian model for hyperspectral imagery [PDF]
, 2008 This paper proposes a hierarchical Bayesian model that can be used for semi-supervised hyperspectral image unmixing. The model assumes that the pixel reflectances result from linear combinations of pure component spectra contaminated by an additive ...
Chang, Chein-I +5 more
core +1 more source
Comparing Laboratory and Satellite Hyperspectral Predictions of Soil Organic Carbon in Farmland
AgronomyMapping soil organic carbon (SOC) accurately is essential for sustainable soil resource management. Hyperspectral data, a vital tool for SOC mapping, is obtained through both laboratory and satellite-based sources.
Haixia Jin +5 more
doaj +1 more source
Multispectral Satellite Imagery Classification Using a Fuzzy Decision Tree
Communications, 2014 A land cover classification system is very important nowadays for various remote sensing applications and many sectors of economy. Therefore, development of algorithms for multi- and hyperspectral imagery classification is an urgent task.
Sergey Stankevich +2 more
doaj +1 more source
Salient object detection in hyperspectral imagery [PDF]
2013 IEEE International Conference on Image Processing, 2013 Object detection in hyperspectral images is an important task for many applications. While most traditional methods are pixel-based, many recent efforts have been put on extracting spatial-spectral features. In this paper, we introduce Itti's visual saliency model into the spectral domain for object detection.
Jie Liang 0003 +3 more
openaire +2 more sources