Results 221 to 230 of about 102,502 (260)

Robust unmixing of large sets of mixed pixels

Pattern Recognition Letters, 1997
Abstract In this paper we propose the use of the Randomized Hough Transform algorithm for the determination of the proportions of pure classes present in sets of mixed pixels, for large datasets (for which the deterministic Hough is prohibitively slow) and in the presence of outliers (i.e.
Panagiota Bosdogianni, Heikki Kälviäinen, Maria Petrou, Josef Kittler   +3 more
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Dynamic range extension of a CMOS active pixel sensor by in-pixel charge mixing

SPIE Proceedings, 2011
Various approaches have been utilized to extend the dynamic range of the CMOS image sensor, which are based on a linear-logarithmic CIS, overflow integration capacitor and multiple sampling or individual pixel resetting. These approaches, however, suffer from noise, nonlinearity, lower sensitivity, reduced operating speed and lower resolution. In order
Sung Hyun Jo, Myunghan Bae, Jae-Sung Kong, Jang-Kyoo Shin   +3 more
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A novel mixed pixels unmixing method for multispectral images

2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541), 2005
The key to mixed pixels unmixing is to determine a set of spectral endmembers that are representative of the surface components in the area covered by multispectral images. We propose a geometric method utilizing the spectrum of two or three bands to determine the endmembers under the assumption that the endmembers are the pure surface components that ...
Jun-Hua Han, De-Shuang Huang, Zhan-Li Sun, Yiu-ming Cheung   +3 more
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The contribution of the sources separation method in the decomposition of mixed pixels

IEEE Transactions on Geoscience and Remote Sensing, 2004
In 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, Mohamed Anis Loghmari, Mohamed Rached Boussema   +2 more
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Spectral unmixing of mixed pixels for texture boundary refinement

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002
Feature-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), 2021
Photo 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, Manoranjan Mohanty, Nasir D. Memon   +2 more
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Synthesis of mixed pixel hyperspectral signatures

International Journal of Remote Sensing, 2011
The 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

2003
The 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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Unsupervised Decomposition of Mixed Pixels Using the Maximum Entropy Principle

18th International Conference on Pattern Recognition (ICPR'06), 2006
Due 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 Classification of Panchromatic Image

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008
A 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, Qiuming Cheng, Wenlei Wang
openaire   +1 more source