Results 211 to 220 of about 30,093 (252)

Sub-pixel-scale Land Cover Map Updating by Integrating Change Detection and Sub-Pixel Mapping

Photogrammetric Engineering & Remote Sensing, 2015
Abstract Coarse-resolution remotely sensed images are high in temporal repetition rates, but their low spatial resolution limits their application in updating land cover maps. Our proposed land cover updating method involves the use of coarse-reso-lution images to update fine-resolution land cover maps.
Xiaodong Li, Yun Du, Feng Ling
openaire   +1 more source

Non-local sub-pixel mapping for hyperspectral imagery

2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2015
The sub-pixel mapping method, which can provide a resolution-enhanced map in classification has been widely used in remote sensing. To better utilize the spatial information of the image, in this paper, a new sub-pixel mapping algorithm based on non-local means (NLSM) is proposed.
Yanfei Zhong, Yunyun Wu, Ruyi Feng, Xiong Xu 0001, Liangpei Zhang 0001   +4 more
openaire   +1 more source

The effect of the point spread function on sub-pixel mapping [PDF]

Remote Sensing of Environment, 2017
Abstract Sub-pixel mapping (SPM) is a process for predicting spatially the land cover classes within mixed pixels. In existing SPM methods, the effect of point spread function (PSF) has seldom been considered. In this paper, a generic SPM method is developed to consider the PSF effect in SPM and, thereby, to increase prediction accuracy.
Qunming Wang, Peter M Atkinson
exaly   +2 more sources

Direct sub-pixel mapping exploiting spatial dependence

IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004, 2004
Remotely sensed images usually contain both pure and mixed pixels. Crisp classification techniques assign mixed pixels to the class with the highest proportion of coverage or probability. Unfortunately, during this process information is lost. Soft or fuzzy classification techniques were introduced to make up for this loss by assigning fractions to the
Koen C. Mertens, Bernard De Baets, Lieven P. C. Verbeke, Robert R. De Wulf   +3 more
openaire   +1 more source

Isotropic Total Variation Minimization for Sub-Pixel Mapping

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Hyperspectral imaging is an important source of land cover information by virtue of its spectral richness. However, this type of imagery is typically known by its coarse spatial resolution, that is a limiting factor for end-users. Although spectral unmixing techniques can provide subpixellic information by means of abundance fractions for each class in
Bouthayna Msellmi, Daniele Picone, Mauro Dalla Mura, Zouhaier Ben Rabah, Imed Riadh Farah   +4 more
openaire   +1 more source

Sub-pixel distance maps and weighted distance transforms

Journal of Mathematical Imaging and Vision, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ron Kimmel, Nahum Kiryati, Alfred M. Bruckstein   +2 more
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A sub‐pixel mapping algorithm based on sub‐pixel/pixel spatial attraction models

International Journal of Remote Sensing, 2006
Soft classification techniques avoid the loss of information characteristic to hard classification techniques when handling mixed pixels. Sub-pixel mapping is a method incorporating benefits of both hard and soft classification techniques. In this paper an algorithm is developed based on sub-pixel/pixel attractions.
Koen C. Mertens, Bernard de Baets, Lieven P. C. Verbeke, Robert R. de Wulf   +3 more
openaire   +1 more source

Characterizing sub-pixel landscape patterns from remotely sensed imagery with sub-pixel mapping methods

2010 18th International Conference on Geoinformatics, 2010
Landscape pattern is a mixture of natural and human-managed patches that vary in size, shape, arrangement and is the result of complex interactions of physical, biological, and social forces. At present, landscape pattern indices (LPIs) have become increasingly popular for characterizing landscape pattern and they are commonly calculated from land ...
Xiaodong Li 0006, Feng Ling, Yun Du
openaire   +1 more source

Using genetic algorithms in sub-pixel mapping

International Journal of Remote Sensing, 2003
In remotely sensed images, mixed pixels will always be present. Soft classification defines the membership degree of these pixels for the different land cover classes. Sub-pixel mapping is a technique designed to use the information contained in these mixed pixels to obtain a sharpened image.
K. C. Mertens, L. P. C. Verbeke, E. I. Ducheyne, R. R. De Wulf   +3 more
openaire   +1 more source

Rethinking the High Frequency Components in Deep Sub-Pixel Mapping Network

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
Deep sub-pixel mapping network (DSMNet) is a state-of-the-art approach in the field of sub-pixel mapping (SPM, also called super resolution mapping), combining deep learning theory, to solve the mixed pixel problem, which is ubiquitous in remote sensing images due to the spatial-resolving limitation.
Da He, Yanfei Zhong, Qian Shi 0001, Xiaoping Liu 0001   +3 more
openaire   +1 more source