Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Munmun Baisantry"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 5011-5026 (2020)
Band selection and feature extraction are the two paradigms of hyperspectral dimensionality reduction. While feature extraction methods have many desirable properties, band selection methods keep the actual reflectances intact, which results in bette
Externí odkaz:
https://doaj.org/article/8303a9651b334def88e91df2764d072e
Publikováno v:
International Journal of Remote Sensing. 43:3868-3889
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c6d92a1e9223602ca89b5c71068b285
https://doi.org/10.1080/01431161.2022.2105174
https://doi.org/10.1080/01431161.2022.2105174
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::855dbf250df0782b4b6c9099e6eb4e17
https://doi.org/10.1109/tgrs.2021.3129841
https://doi.org/10.1109/tgrs.2021.3129841
Publikováno v:
Journal of Earth System Science. 131
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e32ef3f0f6b321c75b0de69915fd29c
https://doi.org/10.1007/s12040-022-01851-y
https://doi.org/10.1007/s12040-022-01851-y
Publikováno v:
Journal of the Indian Society of Remote Sensing. 49:843-856
Dimensionality reduction strategies can be broadly categorized as band selection and feature extraction. Researchers and analysts from the remote sensing community give greater preference to band selection over feature extraction as the latter modifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a0ea563fee6fbea6c3caf0532ef3fb1
https://doi.org/10.1007/s12524-020-01262-w
https://doi.org/10.1007/s12524-020-01262-w
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13:5011-5026
Band selection and feature extraction are the two paradigms of hyperspectral dimensionality reduction. While feature extraction methods have many desirable properties, band selection methods keep the actual reflectances intact, which results in bette
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d5074b3cd73912f37e862a4066daaf4
https://doi.org/10.1109/jstars.2020.3014784
https://doi.org/10.1109/jstars.2020.3014784
Autor:
Munmun Baisantry, Ayushi Khare
Publikováno v:
Journal of the Indian Society of Remote Sensing. 45:743-748
With nanometric spectral resolution and number of bands as high as 220, Hyper spectral sensors like Hyperion and AVIRIS are gaining wide appreciation. Narrow, continuous wavelength of bands upon a vast spectrum of electromagnetic wavelength enables b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61f439f71d3e9aa6d1d159f5150d6006
https://doi.org/10.1007/s12524-016-0643-9
https://doi.org/10.1007/s12524-016-0643-9
Publikováno v:
WHISPERS
Dimensionality reduction methods address the challenges associated with high dimensional hyperspectral data by giving a low-dimensional representation preserving only the common, global spectral information. However, while classifying the image using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::576460b660bca2f87e6924b8cb8ae295
https://doi.org/10.1109/whispers.2018.8747075
https://doi.org/10.1109/whispers.2018.8747075
Autor:
Vivek Saxena, Munmun Baisantry
Publikováno v:
2016 International Conference on Computing, Communication and Automation (ICCCA).
Digital elevation model (DEM) images present the elevation information of earth's surface in the form of an image in floating point or integer format. While integer type has substantial space saving capabilities, they show stair-case or ladder effect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80a8df6b1005c548e94f0076b1959651
https://doi.org/10.1109/ccaa.2016.7813898
https://doi.org/10.1109/ccaa.2016.7813898
Publikováno v:
Defence Science Journal. 62:236-242
Change vector analysis is a very sophisticated method to evaluate land-use/land-cover changes meaningfully. By making proper choice of input data in the form of bands (for instance, red, NIR etc) or features (for instance, greenness, brightness, wetn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d8db6fba8d173881f7d9899f6ab15d6
https://doi.org/10.14429/dsj.62.1072
https://doi.org/10.14429/dsj.62.1072