Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Mann-Li Chang"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2010 (2010)
One of great challenges in unsupervised hyperspectral target analysis is how to obtain desired knowledge in an unsupervised means directly from the data for image analysis. This paper provides a review of unsupervised target analysis by first address
Externí odkaz:
https://doaj.org/article/413972f03b2941c2a1a10110a3af86b1
Autor:
Mann-Li Chang, 張曼莉
95
Breast cancer has emerged as a second leading cause in women’s diseases in Taiwan. Mammography is by far is the only effective means to be able to detect breast cancer in early stage. It has been widely used as a screening procedure to prov
Breast cancer has emerged as a second leading cause in women’s diseases in Taiwan. Mammography is by far is the only effective means to be able to detect breast cancer in early stage. It has been widely used as a screening procedure to prov
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/56468329691464950575
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 4:591-614
Processing enormous hyperspectral data results in high computational complexity. Band selection (BS) is one common practice to accomplish this goal. However, determining the number of bands to be selected and finding appropriate bands for BS are very
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73cb9ccb823633804b2b8c6292cb6837
https://doi.org/10.1109/jstars.2010.2068539
https://doi.org/10.1109/jstars.2010.2068539
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 48:1834-1850
The simplex growing algorithm (SGA) was recently developed as an alternative to the N-finder algorithm (N-FINDR) and shown to be a promising endmember extraction technique. This paper further extends the SGA to a versatile real-time (RT) processing a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a6c2dc4f3823f9cdb778f3a77f0fead
https://doi.org/10.1109/tgrs.2009.2034979
https://doi.org/10.1109/tgrs.2009.2034979
Publikováno v:
IEEE Sensors Journal. 10:547-563
Kalman filter (KF) is a widely used statistical signal processing technique for parameter estimation. Recently, a KF-based approach to linear spectral unmixing, called KF-based linear spectral unmixing (KFLU) was developed for mixed pixel classificat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68ee09371723a5c42da6705f37028667
https://doi.org/10.1109/jsen.2009.2038546
https://doi.org/10.1109/jsen.2009.2038546
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing.
Virtual dimensionality (VD) is a new concept which was originally developed for estimating the number of spectrally distinct signatures present in hyperspectral data. The effectiveness of the VD is determined by the technique used for VD estimation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::337215187161b1d7e621f78bde08b954
https://doi.org/10.1109/tgrs.2010.2068552
https://doi.org/10.1109/tgrs.2010.2068552
Publikováno v:
Proceedings of ICSIPNN '94. International Conference on Speech, Image Processing and Neural Networks.
Presents a new image analysis technique for edge detection using multistage predictive coding (MPC). MPC is a progressive data compression technique which decomposes an image into a set of image components in multiple stages from which the original i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08bc08d61c27756346960fda0163e765
https://doi.org/10.1109/sipnn.1994.344966
https://doi.org/10.1109/sipnn.1994.344966
Publikováno v:
IEEE Transactions on Geoscience & Remote Sensing; Apr2010 Part 1, Vol. 48 Issue 4, p1834-1850, 17p
Publikováno v:
EURASIP Journal on Advances in Signal Processing; 2010, Special section p1-26, 26p
Publikováno v:
Proceedings of ICSIPNN '94 International Conference on Speech, Image Processing & Neural Networks; 1994, p57-57, 1p