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The contribution of the sources separation method in the decomposition of mixed pixels
IEEE Transactions on Geoscience and Remote Sensing, 2004In this paper, we propose to prove the importance of the application of blind sources separation methods on remote sensing data. Indeed, satellite images are represented by radiometric values where each one is considered as a mixture of different sources.
Mohamed Saber Naceur +2 more
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Spectral unmixing of mixed pixels for texture boundary refinement
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002Feature-based texture segmentation methods often compute the texture features over a window of finite support converting raw texture descriptors into usable texture features. However, this process has the adverse effect of blurring the texture feature boundaries such that features at pixels close to the boundaries are a mixture of raw descriptors from ...
Kenneth P. Camilleri, Maria Petrou
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Effect of Video Pixel-Binning on Source Attribution of Mixed Media
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021Photo Response Non-Uniformity (PRNU) noise obtained from images or videos is used as a camera fingerprint to attribute visual objects captured by a camera. The PRNU-based source attribution method, however, fails when there is misalignment between the fingerprint and the query object. One example of such a misalignment, which has been overlooked in the
Samet Taspinar +2 more
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Synthesis of mixed pixel hyperspectral signatures
International Journal of Remote Sensing, 2011The general method of analysing mixed pixel spectral response is to decompose the actual spectra into several pure spectral components representing the signatures of the endmembers. This work suggests a reverse engineering of standardizing the mixed pixel spectrum for a certain spatial distribution of endmembers by synthesizing spectral signatures with
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Automatic Mixed Pixel Classification (AMPC): Unsupervised Mixed Pixel Classification
2003The automatic mixed pixel classification (AMPC) considered in this chapter is fully computer automated and can be implemented to automatically detect and classify targets with no human intervention. Like the automatic subpixel detection discussed in Chapters 5–6 AMPC can be also categorized into unsupervised mixed pixel classification and anomaly ...
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A Fusion Method for Mixed Pixels based on Classification of Panchromatic Image
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008A low-spatial-resolution multispectral (MS) mixed pixel superimposes multiple high-spatial-resolution pixels, some of which are mixed and others are pure. The fused versions of MS mixed sub-pixels normally remain spectrally mixed and visually blurred. A high-resolution classification map is a requisite to the proper fusion of MS mixed sub-pixels.
Linhai Jing +2 more
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Unsupervised Decomposition of Mixed Pixels Using the Maximum Entropy Principle
18th International Conference on Pattern Recognition (ICPR'06), 2006Due to the wide existence of mixed pixels, the derivation of constituent components (endmembers) and their proportions (abundances) at subpixel scales has become an important research topic. In this paper, we propose a novel unsupervised decomposition method based on the classical maximum entropy principle, termed uMaxEnt.
Lidan Miao, Hairong Qi 0001, Harold Szu
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A fusion method for mixed pixels based on prior type judgment
2007 IEEE International Geoscience and Remote Sensing Symposium, 2007In reality, a low-spatial-resolution (LR) mixed pixel superimposes some high-spatial-resolution (HR) pixels, some of which are mixed and some of which are pure. In current fusion methods, mixed multispectral pixels are seldom discriminated from pure pixels and specifically processed.
Linhai Jing, Qiuming Cheng
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Sensors Based on In-Pixel Photo-Mixing Devices
2013The first Time-Of-Flight (TOF) 3D scanning systems were realized in the 1970s for military and space applications [1]. Both pulsed operation and CW modulation, either AM or FM, were used. Scanning systems have steadily improved in the following decades [2, 3, 4], evolving into commercial products for 3D metrology and modelling applications, although ...
Pancheri, Lucio, Stoppa, David
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Automatic thresholding abundance fractional images for mixed pixel classification
IEEE International Geoscience and Remote Sensing Symposium, 2003Mixed pixel classification is different from spatial-based image classification in the sense that the former deals with abundance fractional images resulting from mixed pixels as opposed to classification maps produced by the latter. As a result, mixed pixel classification is generally carried out by visual inspection on the generated abundance ...
Shao-Shan Chiang, Chein-I Chang
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