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Sub-pixel mapping based on memetic algorithm for hyperspectral imagery

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015
In this paper, sub-pixel mapping based on memetic algorithm (SMMA) is proposed to perform the sub-pixel mapping task, including a global search and a local search. In the global search, a clonal selection algorithm can be used,. To increase the convergence speed, the local search is designed to search for a feasible solution in the neighborhood of the ...
Yipeng Zhang, Yanfei Zhong
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Sub-Pixel Mapping with Hyperspectral Images Using Super-Resolution

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Hyperspectral images are rich in spectral content but their spatial resolution is relatively poor. It can lead to mixed pixels and sub-pixel targets. In order to improve the reliability of information provided by hyperspectral image analysis and make the results practically usable, one needs to improve their spatial resolution.
S. Gaur   +2 more
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Edge-directed interpolation-based sub-pixel mapping

Remote Sensing Letters, 2013
Sub-pixel mapping is a technology to obtain the spatial distribution information of land cover within mixed pixels. In this letter, two kinds of edge-directed interpolation algorithms are proposed. These algorithms are applied to coarse spatial resolution images to obtain a high-resolution image with probability information. Then hard classification on
L.G. Wang, Z.Y. Wang, Z. Dou, Y. Wang
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Sub-pixel habitat mapping of a costal dune ecosystem

Applied Geography, 2002
Abstract Bare sand and semi-fixed dunes represent ideal conditions for successionally young slack habitats that support rare species of coastal dune flora. In ecologically significant and large dune systems, such as the Kenfig National Nature Reserve, UK, identification and mapping of favourable (sandy) and unfavourable (scrub-rich) habitats provide ...
Neil Stuart Lucas   +2 more
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Spectral–Spatial–Temporal MAP-Based Sub-Pixel Mapping for Land-Cover Change Detection

IEEE Transactions on Geoscience and Remote Sensing, 2020
The maximum a posteriori (MAP) estimation model-based sub-pixel mapping (SPM) method is an alternative way to solve the ill-posed SPM problem. The MAP estimation model has been proven to be an effective SPM approach and has been extensively developed over the past few years, as a result of its effective regularization capability that comes from the ...
Da He, Yanfei Zhong, Liangpei Zhang 0001
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Sub-pixel Mapping of Doñana Shrubland Species

2017
Periodically mapping and monitoring the spatial distribution of vegetation at species level increases knowledge about the relationship between ecological processes and ecosystem functioning. In protected natural areas, long-term monitoring of key or invasive species can be applied in a more effective, coherent and consistent way by incorporating ...
Marcos Jiménez, Ricardo Díaz-Delgado
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Possibilities of MERIS for sub-pixel regional land cover mapping

SPIE Proceedings, 2005
The Medium Resolution Imaging Spectrometer, MERIS, on board of ENVISAT-1 fulfils the information gap between the current high and low spatial resolution sensors. In this respect, the use of MERIS full resolution data (300 m pixel size) has a great potential for regional and global land cover mapping.
Zurita Milla, R.   +2 more
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Sub-pixel land cover mapping for per-field classification

International Journal of Remote Sensing, 2001
A method was developed to transform a soft land cover classification into hard land cover classes at the sub-pixel scale for subsequent per-field classification. First, image pixels were segmented using vector boundaries. Second, the pixel segments (ranked by area) were labelled with a land cover class (ranked by class typicality).
Aplin, P., Atkinson, P.M.
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Mapping sub-pixel proportional land cover with AVHRR imagery

International Journal of Remote Sensing, 1997
Abstract A problem with NOAA AVHRR imagery is that the intrinsic scale of spatial variation in land cover in the U.K. is usually finer than the scale of sampling imposed by the image pixels. The result is that most NOAA AVHRR pixels contain a mixture of land cover types (sub-pixel mixing).
Atkinson, P M   +2 more
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Mapping spectrally similar urban materials at sub-pixel scales

Remote Sensing of Environment, 2017
Abstract Future space-borne imaging spectrometers could enable global comparative analyses of urban composition. In particular, the high spectral resolution of imaging spectrometry could improve the discrimination of materials that have similar spectral signatures but are functionally dissimilar, such as turfgrass and trees.
Erin B. Wetherley   +2 more
openaire   +1 more source

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