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Record #197916:

Comparing the performance of fuzzy and crisp classifiers on remotely sensed images: a case of snow classification / Monica Pepe, and 3 others.

Title: Comparing the performance of fuzzy and crisp classifiers on remotely sensed images: a case of snow classification / Monica Pepe, and 3 others.
Author(s): Pepe, Monica.
Date: 2010.
In: International Journal of Remote Sensing. (2010.), Vol. 31(23-24) (2010)
Abstract: Evaluates widely used classifiers, particularly accuracy benefit offered by soft classifiers, using study sites in Amadello glacier group (Italian Alps) and Innsbruck area (Austrian Alps). Compares snow cover maps obtained from moderate resolution MODIS data by different classifiers and validates them using fine-resolution ASTER data. Also considers two hard classifier algorithms: one supervised (maximum likelihood); and one unsupervised (Normalized Difference Snow Index). Soft classifier considered is fuzzy statistical classifier. Develops assessment methodology combining generalized cross tabulation matrix for both crisp and fuzzy classifications and Pareto boundary. Establishes rigorous framework for comparing crisp and fuzzy classification results, while determining analytically, based on presence of mixed pixels in validation data, maximum accuracy achievable by crisp classifiers.
Notes:

International Journal of Remote Sensing. Vol. 31(23-24) :6189-6203 (2010).

Keywords: 551.32 -- Glaciology.
551.578.46 -- Snow cover and snow patches.
53.087.23 -- Remote sensing.
519.2 -- Statistical methods.
551.321 -- Glaciological methods and instruments.
E10 -- Glaciology: snow and avalanches.
(234.3) -- Alps.
(45) -- Italy.
(494) -- Switzerland.
SPRI record no.: 197916

MARCXML

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100 1# ‡aPepe, Monica.
245 10 ‡aComparing the performance of fuzzy and crisp classifiers on remotely sensed images :‡ba case of snow classification /‡cMonica Pepe, and 3 others.
260 ## ‡a[S.l.] :‡b[s.n.],‡c2010.
300 ## ‡ap. 6189-6203 :‡bill., diags., table.
500 ## ‡aInternational Journal of Remote Sensing. Vol. 31(23-24) :6189-6203 (2010).
520 3# ‡aEvaluates widely used classifiers, particularly accuracy benefit offered by soft classifiers, using study sites in Amadello glacier group (Italian Alps) and Innsbruck area (Austrian Alps). Compares snow cover maps obtained from moderate resolution MODIS data by different classifiers and validates them using fine-resolution ASTER data. Also considers two hard classifier algorithms: one supervised (maximum likelihood); and one unsupervised (Normalized Difference Snow Index). Soft classifier considered is fuzzy statistical classifier. Develops assessment methodology combining generalized cross tabulation matrix for both crisp and fuzzy classifications and Pareto boundary. Establishes rigorous framework for comparing crisp and fuzzy classification results, while determining analytically, based on presence of mixed pixels in validation data, maximum accuracy achievable by crisp classifiers.
530 ## ‡aAlso issued online ‡uurn:doi:10.1080/01431160903401395‡uhttps://dx.doi.org/10.1080/01431160903401395
650 07 ‡a551.32 -- Glaciology.‡2udc
650 07 ‡a551.578.46 -- Snow cover and snow patches.‡2udc
650 07 ‡a53.087.23 -- Remote sensing.‡2udc
650 07 ‡a519.2 -- Statistical methods.‡2udc
650 07 ‡a551.321 -- Glaciological methods and instruments.‡2udc
650 07 ‡aE10 -- Glaciology: snow and avalanches.‡2local
651 #7 ‡a(234.3) -- Alps.‡2udc
651 #7 ‡a(45) -- Italy.‡2udc
651 #7 ‡a(494) -- Switzerland.‡2udc
773 0# ‡7nnas ‡tInternational Journal of Remote Sensing. ‡gVol. 31(23-24) (2010) ‡wSPRI-1038
916 ## ‡a2012/02/03 -- RF
917 ## ‡aUnenhanced record from Muscat, imported 2019
948 3# ‡a20220927 ‡bRF