Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images:
Gespeichert in:
Hauptverfasser: | , , , , , |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Singapore
Springer Nature Singapore
2024
Singapore Springer |
Ausgabe: | 1st ed. 2024 |
Schriftenreihe: | Intelligent Perception and Information Processing
|
Schlagworte: | |
Online-Zugang: | DE-B768 DE-634 DE-1043 DE-1046 DE-Aug4 DE-1050 DE-573 DE-M347 DE-92 DE-898 DE-859 DE-860 DE-861 DE-863 DE-862 DE-523 DE-91 DE-706 DE-29 Volltext |
Beschreibung: | 1 Online-Ressource (XII, 183 p. 73 illus., 67 illus. in color) |
ISBN: | 9789819780099 |
ISSN: | 3059-3816 |
DOI: | 10.1007/978-981-97-8009-9 |
Internformat
MARC
LEADER | 00000nam a2200000zcb4500 | ||
---|---|---|---|
001 | BV050063024 | ||
003 | DE-604 | ||
007 | cr|uuu---uuuuu | ||
008 | 241202s2024 xx o|||| 00||| eng d | ||
020 | |a 9789819780099 |c Online |9 978-981-9780-09-9 | ||
024 | 7 | |a 10.1007/978-981-97-8009-9 |2 doi | |
035 | |a (ZDB-2-ENG)9789819780099 | ||
035 | |a (DE-599)BVBBV050063024 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-573 |a DE-863 |a DE-92 |a DE-860 |a DE-861 |a DE-862 |a DE-898 |a DE-B768 |a DE-1043 |a DE-91 |a DE-706 |a DE-M347 |a DE-1050 |a DE-634 |a DE-1046 |a DE-Aug4 |a DE-29 |a DE-523 |a DE-859 | ||
082 | 0 | |a 621.382 |2 23 | |
084 | |a ELT 000 |2 stub | ||
084 | |a MAS 000 |2 stub | ||
100 | 1 | |a Ding, Yao |e Verfasser |4 aut | |
245 | 1 | 0 | |a Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images |c by Yao Ding, Zhili Zhang, Haojie Hu, Fang He, Shuli Cheng, Yijun Zhang |
250 | |a 1st ed. 2024 | ||
264 | 1 | |a Singapore |b Springer Nature Singapore |c 2024 | |
264 | 1 | |a Singapore |b Springer | |
300 | |a 1 Online-Ressource (XII, 183 p. 73 illus., 67 illus. in color) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 0 | |a Intelligent Perception and Information Processing |x 3059-3816 | |
650 | 4 | |a Image Processing | |
650 | 4 | |a Mathematical Models of Cognitive Processes and Neural Networks | |
650 | 4 | |a Machine Learning | |
650 | 4 | |a Image processing | |
650 | 4 | |a Neural networks (Computer science) | |
650 | 4 | |a Machine learning | |
700 | 1 | |a Zhang, Zhili |4 aut | |
700 | 1 | |a Hu, Haojie |4 aut | |
700 | 1 | |a He, Fang |4 aut | |
700 | 1 | |a Cheng, Shuli |4 aut | |
700 | 1 | |a Zhang, Yijun |4 aut | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-981-9780-08-2 |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-981-9780-10-5 |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-981-9780-11-2 |
856 | 4 | 0 | |u https://doi.org/10.1007/978-981-97-8009-9 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
912 | |a ZDB-2-ENG | ||
940 | 1 | |q ZDB-2-ENG_2024 | |
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035400582 | |
966 | e | |u https://doi.org/10.1007/978-981-97-8009-9 |l DE-B768 |p ZDB-2-ENG |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-981-97-8009-9 |l DE-634 |p ZDB-2-ENG |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-981-97-8009-9 |l DE-1043 |p ZDB-2-ENG |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-981-97-8009-9 |l DE-1046 |p ZDB-2-ENG |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-981-97-8009-9 |l DE-Aug4 |p ZDB-2-ENG |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-981-97-8009-9 |l DE-1050 |p ZDB-2-ENG |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-981-97-8009-9 |l DE-573 |p ZDB-2-ENG |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-981-97-8009-9 |l DE-M347 |p ZDB-2-ENG |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-981-97-8009-9 |l DE-92 |p ZDB-2-ENG |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-981-97-8009-9 |l DE-898 |p ZDB-2-ENG |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-981-97-8009-9 |l DE-859 |p ZDB-2-ENG |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-981-97-8009-9 |l DE-860 |p ZDB-2-ENG |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-981-97-8009-9 |l DE-861 |p ZDB-2-ENG |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-981-97-8009-9 |l DE-863 |p ZDB-2-ENG |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-981-97-8009-9 |l DE-862 |p ZDB-2-ENG |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-981-97-8009-9 |l DE-523 |p ZDB-2-ENG |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-981-97-8009-9 |l DE-91 |p ZDB-2-ENG |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-981-97-8009-9 |l DE-706 |p ZDB-2-ENG |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-981-97-8009-9 |l DE-29 |p ZDB-2-ENG |x Verlag |3 Volltext |
Datensatz im Suchindex
_version_ | 1819652083866927104 |
---|---|
adam_text | |
any_adam_object | |
author | Ding, Yao Zhang, Zhili Hu, Haojie He, Fang Cheng, Shuli Zhang, Yijun |
author_facet | Ding, Yao Zhang, Zhili Hu, Haojie He, Fang Cheng, Shuli Zhang, Yijun |
author_role | aut aut aut aut aut aut |
author_sort | Ding, Yao |
author_variant | y d yd z z zz h h hh f h fh s c sc y z yz |
building | Verbundindex |
bvnumber | BV050063024 |
classification_tum | ELT 000 MAS 000 |
collection | ZDB-2-ENG |
ctrlnum | (ZDB-2-ENG)9789819780099 (DE-599)BVBBV050063024 |
dewey-full | 621.382 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 621 - Applied physics |
dewey-raw | 621.382 |
dewey-search | 621.382 |
dewey-sort | 3621.382 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Elektrotechnik Elektrotechnik / Elektronik / Nachrichtentechnik Maschinenbau |
doi_str_mv | 10.1007/978-981-97-8009-9 |
edition | 1st ed. 2024 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000zcb4500</leader><controlfield tag="001">BV050063024</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">241202s2024 xx o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9789819780099</subfield><subfield code="c">Online</subfield><subfield code="9">978-981-9780-09-9</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-981-97-8009-9</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-ENG)9789819780099</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV050063024</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-573</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-860</subfield><subfield code="a">DE-861</subfield><subfield code="a">DE-862</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-B768</subfield><subfield code="a">DE-1043</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-M347</subfield><subfield code="a">DE-1050</subfield><subfield code="a">DE-634</subfield><subfield code="a">DE-1046</subfield><subfield code="a">DE-Aug4</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-523</subfield><subfield code="a">DE-859</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">621.382</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ELT 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">MAS 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Ding, Yao</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images</subfield><subfield code="c">by Yao Ding, Zhili Zhang, Haojie Hu, Fang He, Shuli Cheng, Yijun Zhang</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed. 2024</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Singapore</subfield><subfield code="b">Springer Nature Singapore</subfield><subfield code="c">2024</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Singapore</subfield><subfield code="b">Springer</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XII, 183 p. 73 illus., 67 illus. in color)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Intelligent Perception and Information Processing</subfield><subfield code="x">3059-3816</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Image Processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematical Models of Cognitive Processes and Neural Networks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine Learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Image processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Neural networks (Computer science) </subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Zhili</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hu, Haojie</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">He, Fang</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cheng, Shuli</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Yijun</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-981-9780-08-2</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-981-9780-10-5</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-981-9780-11-2</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-981-97-8009-9</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-ENG</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-ENG_2024</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-035400582</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-97-8009-9</subfield><subfield code="l">DE-B768</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-97-8009-9</subfield><subfield code="l">DE-634</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-97-8009-9</subfield><subfield code="l">DE-1043</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-97-8009-9</subfield><subfield code="l">DE-1046</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-97-8009-9</subfield><subfield code="l">DE-Aug4</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-97-8009-9</subfield><subfield code="l">DE-1050</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-97-8009-9</subfield><subfield code="l">DE-573</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-97-8009-9</subfield><subfield code="l">DE-M347</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-97-8009-9</subfield><subfield code="l">DE-92</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-97-8009-9</subfield><subfield code="l">DE-898</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-97-8009-9</subfield><subfield code="l">DE-859</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-97-8009-9</subfield><subfield code="l">DE-860</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-97-8009-9</subfield><subfield code="l">DE-861</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-97-8009-9</subfield><subfield code="l">DE-863</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-97-8009-9</subfield><subfield code="l">DE-862</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-97-8009-9</subfield><subfield code="l">DE-523</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-97-8009-9</subfield><subfield code="l">DE-91</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-97-8009-9</subfield><subfield code="l">DE-706</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-97-8009-9</subfield><subfield code="l">DE-29</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV050063024 |
illustrated | Not Illustrated |
indexdate | 2024-12-28T04:10:57Z |
institution | BVB |
isbn | 9789819780099 |
issn | 3059-3816 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035400582 |
open_access_boolean | |
owner | DE-573 DE-863 DE-BY-FWS DE-92 DE-860 DE-861 DE-862 DE-BY-FWS DE-898 DE-BY-UBR DE-B768 DE-1043 DE-91 DE-BY-TUM DE-706 DE-M347 DE-1050 DE-634 DE-1046 DE-Aug4 DE-29 DE-523 DE-859 |
owner_facet | DE-573 DE-863 DE-BY-FWS DE-92 DE-860 DE-861 DE-862 DE-BY-FWS DE-898 DE-BY-UBR DE-B768 DE-1043 DE-91 DE-BY-TUM DE-706 DE-M347 DE-1050 DE-634 DE-1046 DE-Aug4 DE-29 DE-523 DE-859 |
physical | 1 Online-Ressource (XII, 183 p. 73 illus., 67 illus. in color) |
psigel | ZDB-2-ENG ZDB-2-ENG_2024 |
publishDate | 2024 |
publishDateSearch | 2024 |
publishDateSort | 2024 |
publisher | Springer Nature Singapore Springer |
record_format | marc |
series2 | Intelligent Perception and Information Processing |
spellingShingle | Ding, Yao Zhang, Zhili Hu, Haojie He, Fang Cheng, Shuli Zhang, Yijun Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images Image Processing Mathematical Models of Cognitive Processes and Neural Networks Machine Learning Image processing Neural networks (Computer science) Machine learning |
title | Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images |
title_auth | Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images |
title_exact_search | Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images |
title_full | Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images by Yao Ding, Zhili Zhang, Haojie Hu, Fang He, Shuli Cheng, Yijun Zhang |
title_fullStr | Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images by Yao Ding, Zhili Zhang, Haojie Hu, Fang He, Shuli Cheng, Yijun Zhang |
title_full_unstemmed | Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images by Yao Ding, Zhili Zhang, Haojie Hu, Fang He, Shuli Cheng, Yijun Zhang |
title_short | Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images |
title_sort | graph neural network for feature extraction and classification of hyperspectral remote sensing images |
topic | Image Processing Mathematical Models of Cognitive Processes and Neural Networks Machine Learning Image processing Neural networks (Computer science) Machine learning |
topic_facet | Image Processing Mathematical Models of Cognitive Processes and Neural Networks Machine Learning Image processing Neural networks (Computer science) Machine learning |
url | https://doi.org/10.1007/978-981-97-8009-9 |
work_keys_str_mv | AT dingyao graphneuralnetworkforfeatureextractionandclassificationofhyperspectralremotesensingimages AT zhangzhili graphneuralnetworkforfeatureextractionandclassificationofhyperspectralremotesensingimages AT huhaojie graphneuralnetworkforfeatureextractionandclassificationofhyperspectralremotesensingimages AT hefang graphneuralnetworkforfeatureextractionandclassificationofhyperspectralremotesensingimages AT chengshuli graphneuralnetworkforfeatureextractionandclassificationofhyperspectralremotesensingimages AT zhangyijun graphneuralnetworkforfeatureextractionandclassificationofhyperspectralremotesensingimages |