Matches in SemOpenAlex for { <https://semopenalex.org/work/W4367011881> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W4367011881 endingPage "624" @default.
- W4367011881 startingPage "613" @default.
- W4367011881 abstract "Hyperspectral Image contains hundreds of continuous bands. This large number of bands leads to “Curse of dimensionality $$text {''}$$ problem. Segmentation of such hyperspectral image is a difficult task due to strongly co-related bands and ambiguous multiple regions of interest. In last few years a number of algorithms were proposed to segment Hyperspectral Image (HSI). In this paper we first reduce the bands in HSI using cuckoo search approach. Then the reduced banded HSI is segmented using the same approach. For the reduction of bands Band Co-relation (BS) is used as objective function. Tsallis Entropy (TE) and Rényi Entropy (RE) are considered combinedly to design a new objective function for segmentation. To asses the efficiency of proposed technique, experiments are done with Indian Pine dataset which captured by AVIRIS sensor and University of Pavia dataset obtained from ROSIS sensor. Three indices are used to assess the classification results: overall accuracy (OA), average accuracy (AA), and kappa coefficient (KC). The proposed method’s strength is demonstrated by a comparison with two other approaches." @default.
- W4367011881 created "2023-04-27" @default.
- W4367011881 creator A5076663673 @default.
- W4367011881 creator A5080175404 @default.
- W4367011881 creator A5088264239 @default.
- W4367011881 date "2023-01-01" @default.
- W4367011881 modified "2023-09-25" @default.
- W4367011881 title "Hyperspectral Image Segmentation Using Balanced Entropic Thresholding" @default.
- W4367011881 cites W1521436688 @default.
- W4367011881 cites W1974917103 @default.
- W4367011881 cites W2045753467 @default.
- W4367011881 cites W2085625911 @default.
- W4367011881 cites W2121766492 @default.
- W4367011881 cites W2258223236 @default.
- W4367011881 cites W2333617235 @default.
- W4367011881 cites W2753290709 @default.
- W4367011881 cites W2764276316 @default.
- W4367011881 cites W2767805377 @default.
- W4367011881 cites W2768537477 @default.
- W4367011881 cites W2789643644 @default.
- W4367011881 cites W2888119354 @default.
- W4367011881 cites W2889837374 @default.
- W4367011881 cites W2889861425 @default.
- W4367011881 cites W2904995961 @default.
- W4367011881 cites W2922088567 @default.
- W4367011881 cites W2946747211 @default.
- W4367011881 cites W2962770389 @default.
- W4367011881 cites W2972505576 @default.
- W4367011881 cites W2977002487 @default.
- W4367011881 cites W2989871747 @default.
- W4367011881 cites W3087867645 @default.
- W4367011881 cites W3100011500 @default.
- W4367011881 cites W3136985054 @default.
- W4367011881 cites W4376544980 @default.
- W4367011881 cites W79554780 @default.
- W4367011881 doi "https://doi.org/10.1007/978-981-19-5191-6_49" @default.
- W4367011881 hasPublicationYear "2023" @default.
- W4367011881 type Work @default.
- W4367011881 citedByCount "0" @default.
- W4367011881 crossrefType "book-chapter" @default.
- W4367011881 hasAuthorship W4367011881A5076663673 @default.
- W4367011881 hasAuthorship W4367011881A5080175404 @default.
- W4367011881 hasAuthorship W4367011881A5088264239 @default.
- W4367011881 hasConcept C106301342 @default.
- W4367011881 hasConcept C111030470 @default.
- W4367011881 hasConcept C11413529 @default.
- W4367011881 hasConcept C115961682 @default.
- W4367011881 hasConcept C117241572 @default.
- W4367011881 hasConcept C121332964 @default.
- W4367011881 hasConcept C124504099 @default.
- W4367011881 hasConcept C153180895 @default.
- W4367011881 hasConcept C154945302 @default.
- W4367011881 hasConcept C159078339 @default.
- W4367011881 hasConcept C191178318 @default.
- W4367011881 hasConcept C31972630 @default.
- W4367011881 hasConcept C33923547 @default.
- W4367011881 hasConcept C41008148 @default.
- W4367011881 hasConcept C62520636 @default.
- W4367011881 hasConcept C70518039 @default.
- W4367011881 hasConcept C85617194 @default.
- W4367011881 hasConcept C89600930 @default.
- W4367011881 hasConceptScore W4367011881C106301342 @default.
- W4367011881 hasConceptScore W4367011881C111030470 @default.
- W4367011881 hasConceptScore W4367011881C11413529 @default.
- W4367011881 hasConceptScore W4367011881C115961682 @default.
- W4367011881 hasConceptScore W4367011881C117241572 @default.
- W4367011881 hasConceptScore W4367011881C121332964 @default.
- W4367011881 hasConceptScore W4367011881C124504099 @default.
- W4367011881 hasConceptScore W4367011881C153180895 @default.
- W4367011881 hasConceptScore W4367011881C154945302 @default.
- W4367011881 hasConceptScore W4367011881C159078339 @default.
- W4367011881 hasConceptScore W4367011881C191178318 @default.
- W4367011881 hasConceptScore W4367011881C31972630 @default.
- W4367011881 hasConceptScore W4367011881C33923547 @default.
- W4367011881 hasConceptScore W4367011881C41008148 @default.
- W4367011881 hasConceptScore W4367011881C62520636 @default.
- W4367011881 hasConceptScore W4367011881C70518039 @default.
- W4367011881 hasConceptScore W4367011881C85617194 @default.
- W4367011881 hasConceptScore W4367011881C89600930 @default.
- W4367011881 hasLocation W43670118811 @default.
- W4367011881 hasOpenAccess W4367011881 @default.
- W4367011881 hasPrimaryLocation W43670118811 @default.
- W4367011881 hasRelatedWork W1669643531 @default.
- W4367011881 hasRelatedWork W2018206842 @default.
- W4367011881 hasRelatedWork W2122581818 @default.
- W4367011881 hasRelatedWork W2181351615 @default.
- W4367011881 hasRelatedWork W2347731544 @default.
- W4367011881 hasRelatedWork W2350588503 @default.
- W4367011881 hasRelatedWork W2551390060 @default.
- W4367011881 hasRelatedWork W3018841469 @default.
- W4367011881 hasRelatedWork W3211035526 @default.
- W4367011881 hasRelatedWork W4200151752 @default.
- W4367011881 isParatext "false" @default.
- W4367011881 isRetracted "false" @default.
- W4367011881 workType "book-chapter" @default.