Hyperspectral Imaging for Earth Observation: Platforms and Instruments View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-05-09

AUTHORS

Vaibhav Lodhi, Debashish Chakravarty, Pabitra Mitra

ABSTRACT

Hyperspectral imaging is one of the promising remote sensing techniques. This technique records the spatial and spectral information of the object under study. Consequently, it has been gaining momentum in a number of Earth observing applications. The aim of this paper is to present the current trends of hyperspectral sensing from different platforms and instruments for various applications. For Earth observation, mobile platforms are discussed which include spaceborne, airborne, ground-based sensing, unmanned aerial system, and underwater vehicle-based. Under these different sensing platforms, hyperspectral imaging instruments are presented that have been developed by various public and private organizations in the past with some specific goals. More... »

PAGES

429-443

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s41745-018-0070-8

DOI

http://dx.doi.org/10.1007/s41745-018-0070-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1103909826


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0906", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Electrical and Electronic Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0909", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Geomatic Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Indian Institute of Technology Kharagpur, Kharagpur, India", 
          "id": "http://www.grid.ac/institutes/grid.429017.9", 
          "name": [
            "Indian Institute of Technology Kharagpur, Kharagpur, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lodhi", 
        "givenName": "Vaibhav", 
        "id": "sg:person.010470356337.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010470356337.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Indian Institute of Technology Kharagpur, Kharagpur, India", 
          "id": "http://www.grid.ac/institutes/grid.429017.9", 
          "name": [
            "Indian Institute of Technology Kharagpur, Kharagpur, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chakravarty", 
        "givenName": "Debashish", 
        "id": "sg:person.07356504151.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07356504151.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Indian Institute of Technology Kharagpur, Kharagpur, India", 
          "id": "http://www.grid.ac/institutes/grid.429017.9", 
          "name": [
            "Indian Institute of Technology Kharagpur, Kharagpur, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mitra", 
        "givenName": "Pabitra", 
        "id": "sg:person.012344602247.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012344602247.46"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s12161-015-0153-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009888693", 
          "https://doi.org/10.1007/s12161-015-0153-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00271-012-0382-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010214520", 
          "https://doi.org/10.1007/s00271-012-0382-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11119-013-9322-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001154301", 
          "https://doi.org/10.1007/s11119-013-9322-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12524-010-0027-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007127735", 
          "https://doi.org/10.1007/s12524-010-0027-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/0-387-44455-6_6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016610496", 
          "https://doi.org/10.1007/0-387-44455-6_6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11119-012-9274-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020655667", 
          "https://doi.org/10.1007/s11119-012-9274-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10530-013-0578-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001739284", 
          "https://doi.org/10.1007/s10530-013-0578-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11119-012-9257-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000502970", 
          "https://doi.org/10.1007/s11119-012-9257-6"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-05-09", 
    "datePublishedReg": "2018-05-09", 
    "description": "Hyperspectral imaging is one of the promising remote sensing techniques. This technique records the spatial and spectral information of the object under study. Consequently, it has been gaining momentum in a number of Earth observing applications. The aim of this paper is to present the current trends of hyperspectral sensing from different platforms and instruments for various applications. For Earth observation, mobile platforms are  discussed which include spaceborne, airborne, ground-based sensing, unmanned aerial system, and underwater vehicle-based. Under these different sensing platforms, hyperspectral imaging instruments are presented that have been developed by various public and private organizations in the past with some specific goals.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s41745-018-0070-8", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1372021", 
        "issn": [
          "0970-4140", 
          "0019-4964"
        ], 
        "name": "Journal of the Indian Institute of Science", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "98"
      }
    ], 
    "keywords": [
      "ground-based sensing", 
      "unmanned aerial systems", 
      "Earth observation", 
      "different sensing platforms", 
      "remote sensing techniques", 
      "hyperspectral imaging instruments", 
      "aerial systems", 
      "sensing techniques", 
      "number of Earth", 
      "sensing platform", 
      "hyperspectral imaging", 
      "mobile platform", 
      "spectral information", 
      "hyperspectral sensing", 
      "sensing", 
      "imaging instruments", 
      "spaceborne", 
      "applications", 
      "platform", 
      "technique", 
      "current trends", 
      "system", 
      "momentum", 
      "different platforms", 
      "observations", 
      "instrument", 
      "Earth", 
      "imaging", 
      "objects", 
      "trends", 
      "number", 
      "study", 
      "specific goals", 
      "information", 
      "goal", 
      "aim", 
      "past", 
      "private organizations", 
      "organization", 
      "paper"
    ], 
    "name": "Hyperspectral Imaging for Earth Observation: Platforms and Instruments", 
    "pagination": "429-443", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1103909826"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s41745-018-0070-8"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s41745-018-0070-8", 
      "https://app.dimensions.ai/details/publication/pub.1103909826"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-08-04T17:06", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_759.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s41745-018-0070-8"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s41745-018-0070-8'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s41745-018-0070-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s41745-018-0070-8'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s41745-018-0070-8'


 

This table displays all metadata directly associated to this object as RDF triples.

147 TRIPLES      21 PREDICATES      73 URIs      56 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s41745-018-0070-8 schema:about anzsrc-for:09
2 anzsrc-for:0906
3 anzsrc-for:0909
4 schema:author N80c6b97262ef4aceb8a16e408b44491d
5 schema:citation sg:pub.10.1007/0-387-44455-6_6
6 sg:pub.10.1007/s00271-012-0382-9
7 sg:pub.10.1007/s10530-013-0578-9
8 sg:pub.10.1007/s11119-012-9257-6
9 sg:pub.10.1007/s11119-012-9274-5
10 sg:pub.10.1007/s11119-013-9322-9
11 sg:pub.10.1007/s12161-015-0153-3
12 sg:pub.10.1007/s12524-010-0027-5
13 schema:datePublished 2018-05-09
14 schema:datePublishedReg 2018-05-09
15 schema:description Hyperspectral imaging is one of the promising remote sensing techniques. This technique records the spatial and spectral information of the object under study. Consequently, it has been gaining momentum in a number of Earth observing applications. The aim of this paper is to present the current trends of hyperspectral sensing from different platforms and instruments for various applications. For Earth observation, mobile platforms are discussed which include spaceborne, airborne, ground-based sensing, unmanned aerial system, and underwater vehicle-based. Under these different sensing platforms, hyperspectral imaging instruments are presented that have been developed by various public and private organizations in the past with some specific goals.
16 schema:genre article
17 schema:isAccessibleForFree false
18 schema:isPartOf N53be01dd88444d7487f529dd6ae14fe1
19 N5d921ad357214f47890c8881a020f6d6
20 sg:journal.1372021
21 schema:keywords Earth
22 Earth observation
23 aerial systems
24 aim
25 applications
26 current trends
27 different platforms
28 different sensing platforms
29 goal
30 ground-based sensing
31 hyperspectral imaging
32 hyperspectral imaging instruments
33 hyperspectral sensing
34 imaging
35 imaging instruments
36 information
37 instrument
38 mobile platform
39 momentum
40 number
41 number of Earth
42 objects
43 observations
44 organization
45 paper
46 past
47 platform
48 private organizations
49 remote sensing techniques
50 sensing
51 sensing platform
52 sensing techniques
53 spaceborne
54 specific goals
55 spectral information
56 study
57 system
58 technique
59 trends
60 unmanned aerial systems
61 schema:name Hyperspectral Imaging for Earth Observation: Platforms and Instruments
62 schema:pagination 429-443
63 schema:productId N58ce23b4d25c4f7ba0eabbf5bfa34afb
64 Nca72cb77164a4c7a91b094d436d27b4c
65 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103909826
66 https://doi.org/10.1007/s41745-018-0070-8
67 schema:sdDatePublished 2022-08-04T17:06
68 schema:sdLicense https://scigraph.springernature.com/explorer/license/
69 schema:sdPublisher N7b7cec12ae4b477081f956c1c78937ad
70 schema:url https://doi.org/10.1007/s41745-018-0070-8
71 sgo:license sg:explorer/license/
72 sgo:sdDataset articles
73 rdf:type schema:ScholarlyArticle
74 N30ce76af69f64be682f534e90d78b14e rdf:first sg:person.012344602247.46
75 rdf:rest rdf:nil
76 N43b3747cc88147b6ac8ba9baf3f4b7e6 rdf:first sg:person.07356504151.10
77 rdf:rest N30ce76af69f64be682f534e90d78b14e
78 N53be01dd88444d7487f529dd6ae14fe1 schema:volumeNumber 98
79 rdf:type schema:PublicationVolume
80 N58ce23b4d25c4f7ba0eabbf5bfa34afb schema:name doi
81 schema:value 10.1007/s41745-018-0070-8
82 rdf:type schema:PropertyValue
83 N5d921ad357214f47890c8881a020f6d6 schema:issueNumber 4
84 rdf:type schema:PublicationIssue
85 N7b7cec12ae4b477081f956c1c78937ad schema:name Springer Nature - SN SciGraph project
86 rdf:type schema:Organization
87 N80c6b97262ef4aceb8a16e408b44491d rdf:first sg:person.010470356337.97
88 rdf:rest N43b3747cc88147b6ac8ba9baf3f4b7e6
89 Nca72cb77164a4c7a91b094d436d27b4c schema:name dimensions_id
90 schema:value pub.1103909826
91 rdf:type schema:PropertyValue
92 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
93 schema:name Engineering
94 rdf:type schema:DefinedTerm
95 anzsrc-for:0906 schema:inDefinedTermSet anzsrc-for:
96 schema:name Electrical and Electronic Engineering
97 rdf:type schema:DefinedTerm
98 anzsrc-for:0909 schema:inDefinedTermSet anzsrc-for:
99 schema:name Geomatic Engineering
100 rdf:type schema:DefinedTerm
101 sg:journal.1372021 schema:issn 0019-4964
102 0970-4140
103 schema:name Journal of the Indian Institute of Science
104 schema:publisher Springer Nature
105 rdf:type schema:Periodical
106 sg:person.010470356337.97 schema:affiliation grid-institutes:grid.429017.9
107 schema:familyName Lodhi
108 schema:givenName Vaibhav
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010470356337.97
110 rdf:type schema:Person
111 sg:person.012344602247.46 schema:affiliation grid-institutes:grid.429017.9
112 schema:familyName Mitra
113 schema:givenName Pabitra
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012344602247.46
115 rdf:type schema:Person
116 sg:person.07356504151.10 schema:affiliation grid-institutes:grid.429017.9
117 schema:familyName Chakravarty
118 schema:givenName Debashish
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07356504151.10
120 rdf:type schema:Person
121 sg:pub.10.1007/0-387-44455-6_6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016610496
122 https://doi.org/10.1007/0-387-44455-6_6
123 rdf:type schema:CreativeWork
124 sg:pub.10.1007/s00271-012-0382-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010214520
125 https://doi.org/10.1007/s00271-012-0382-9
126 rdf:type schema:CreativeWork
127 sg:pub.10.1007/s10530-013-0578-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001739284
128 https://doi.org/10.1007/s10530-013-0578-9
129 rdf:type schema:CreativeWork
130 sg:pub.10.1007/s11119-012-9257-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000502970
131 https://doi.org/10.1007/s11119-012-9257-6
132 rdf:type schema:CreativeWork
133 sg:pub.10.1007/s11119-012-9274-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020655667
134 https://doi.org/10.1007/s11119-012-9274-5
135 rdf:type schema:CreativeWork
136 sg:pub.10.1007/s11119-013-9322-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001154301
137 https://doi.org/10.1007/s11119-013-9322-9
138 rdf:type schema:CreativeWork
139 sg:pub.10.1007/s12161-015-0153-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009888693
140 https://doi.org/10.1007/s12161-015-0153-3
141 rdf:type schema:CreativeWork
142 sg:pub.10.1007/s12524-010-0027-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007127735
143 https://doi.org/10.1007/s12524-010-0027-5
144 rdf:type schema:CreativeWork
145 grid-institutes:grid.429017.9 schema:alternateName Indian Institute of Technology Kharagpur, Kharagpur, India
146 schema:name Indian Institute of Technology Kharagpur, Kharagpur, India
147 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...