Multiscale Estimation of Terrain Complexity Using ALSM Point Data on Variable Resolution Grids View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2005

AUTHORS

K.C. Slatton , K. Nagarajan , V. Aggarwal , H. Lee , W. Carter , R. Shrestha

ABSTRACT

Multiscale Kalman smoothers (MKS) have been previously employed for data fusion applications and estimation of topography. However, the standard MKS algorithm embedded with a single stochastic model gives suboptimal performance when estimating non-stationary topographic variations, particularly when there are sudden changes in the terrain. In this work, multiple MKS models are regulated by a mixture-of-experts (MOE) network to adaptively fuse the estimates. Though MOE has been widely applied to one-dimensional time series data, its extension to multiscale estimation is new. More... »

PAGES

224-229

Book

TITLE

Gravity, Geoid and Space Missions

ISBN

3-540-26930-4

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/3-540-26932-0_39

DOI

http://dx.doi.org/10.1007/3-540-26932-0_39

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1009624543


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/2008/0104", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Statistics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Florida", 
          "id": "https://www.grid.ac/institutes/grid.15276.37", 
          "name": [
            "Department of Electrical and Computer Engineering, University of Florida, PO Box 116130, 32611, Gainesville, FL", 
            "Department of Civil and Coastal Engineering, University of Florida, PO Box 116130, 32611, Gainesville, FL"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Slatton", 
        "givenName": "K.C.", 
        "id": "sg:person.014476113041.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014476113041.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Florida", 
          "id": "https://www.grid.ac/institutes/grid.15276.37", 
          "name": [
            "Department of Electrical and Computer Engineering, University of Florida, PO Box 116130, 32611, Gainesville, FL"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nagarajan", 
        "givenName": "K.", 
        "id": "sg:person.016671304161.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016671304161.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Florida", 
          "id": "https://www.grid.ac/institutes/grid.15276.37", 
          "name": [
            "Department of Electrical and Computer Engineering, University of Florida, PO Box 116130, 32611, Gainesville, FL"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aggarwal", 
        "givenName": "V.", 
        "id": "sg:person.012513705526.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012513705526.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Florida", 
          "id": "https://www.grid.ac/institutes/grid.15276.37", 
          "name": [
            "Department of Electrical and Computer Engineering, University of Florida, PO Box 116130, 32611, Gainesville, FL"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "H.", 
        "id": "sg:person.013777321634.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013777321634.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Florida", 
          "id": "https://www.grid.ac/institutes/grid.15276.37", 
          "name": [
            "Department of Civil and Coastal Engineering, University of Florida, PO Box 116130, 32611, Gainesville, FL"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Carter", 
        "givenName": "W.", 
        "id": "sg:person.010004523243.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010004523243.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Florida", 
          "id": "https://www.grid.ac/institutes/grid.15276.37", 
          "name": [
            "Department of Civil and Coastal Engineering, University of Florida, PO Box 116130, 32611, Gainesville, FL"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shrestha", 
        "givenName": "R.", 
        "id": "sg:person.0714115124.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714115124.29"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0098-3004(86)90047-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021120000"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0098-3004(86)90047-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021120000"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/36.377928", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061161227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/36.964984", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061162769"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/7.464348", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061214797"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/igarss.1996.516474", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093293296"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9781139174695", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098668573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9780511564352", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098709070"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2005", 
    "datePublishedReg": "2005-01-01", 
    "description": "Multiscale Kalman smoothers (MKS) have been previously employed for data fusion applications and estimation of topography. However, the standard MKS algorithm embedded with a single stochastic model gives suboptimal performance when estimating non-stationary topographic variations, particularly when there are sudden changes in the terrain. In this work, multiple MKS models are regulated by a mixture-of-experts (MOE) network to adaptively fuse the estimates. Though MOE has been widely applied to one-dimensional time series data, its extension to multiscale estimation is new.", 
    "editor": [
      {
        "familyName": "Jekeli", 
        "givenName": "Christopher", 
        "type": "Person"
      }, 
      {
        "familyName": "Bastos", 
        "givenName": "Luisa", 
        "type": "Person"
      }, 
      {
        "familyName": "Fernandes", 
        "givenName": "Joana", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/3-540-26932-0_39", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "3-540-26930-4"
      ], 
      "name": "Gravity, Geoid and Space Missions", 
      "type": "Book"
    }, 
    "name": "Multiscale Estimation of Terrain Complexity Using ALSM Point Data on Variable Resolution Grids", 
    "pagination": "224-229", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1009624543"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/3-540-26932-0_39"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "2dd9739e26acc17dc08dac9294bd2aed8e706cf6e8ba542dd65f819925ec9983"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin/Heidelberg", 
      "name": "Springer-Verlag", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/3-540-26932-0_39", 
      "https://app.dimensions.ai/details/publication/pub.1009624543"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T10:07", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000377_0000000377/records_106807_00000000.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F3-540-26932-0_39"
  }
]
 

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.10.1007/3-540-26932-0_39'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/3-540-26932-0_39'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/3-540-26932-0_39'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/3-540-26932-0_39'


 

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

131 TRIPLES      23 PREDICATES      34 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/3-540-26932-0_39 schema:about anzsrc-for:01
2 anzsrc-for:0104
3 schema:author N06870d84db9445dabe468a778fe0bb34
4 schema:citation https://doi.org/10.1016/0098-3004(86)90047-6
5 https://doi.org/10.1017/cbo9780511564352
6 https://doi.org/10.1017/cbo9781139174695
7 https://doi.org/10.1109/36.377928
8 https://doi.org/10.1109/36.964984
9 https://doi.org/10.1109/7.464348
10 https://doi.org/10.1109/igarss.1996.516474
11 schema:datePublished 2005
12 schema:datePublishedReg 2005-01-01
13 schema:description Multiscale Kalman smoothers (MKS) have been previously employed for data fusion applications and estimation of topography. However, the standard MKS algorithm embedded with a single stochastic model gives suboptimal performance when estimating non-stationary topographic variations, particularly when there are sudden changes in the terrain. In this work, multiple MKS models are regulated by a mixture-of-experts (MOE) network to adaptively fuse the estimates. Though MOE has been widely applied to one-dimensional time series data, its extension to multiscale estimation is new.
14 schema:editor N221b043776db451d9027fdfca13d1832
15 schema:genre chapter
16 schema:inLanguage en
17 schema:isAccessibleForFree false
18 schema:isPartOf Ne2f8ee2dcb3046a8bbaaa1c6a9ddd613
19 schema:name Multiscale Estimation of Terrain Complexity Using ALSM Point Data on Variable Resolution Grids
20 schema:pagination 224-229
21 schema:productId N5bbb52bc182b4252a4900b11fcf9e345
22 Na88a58c3ac684873a236771d2cb2ed3a
23 Nbcc626192b4149d4a06e7ad33bd4d804
24 schema:publisher N70f713fa354c4ad6aee4a208e87c611c
25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009624543
26 https://doi.org/10.1007/3-540-26932-0_39
27 schema:sdDatePublished 2019-04-16T10:07
28 schema:sdLicense https://scigraph.springernature.com/explorer/license/
29 schema:sdPublisher N033dada2ac354e7e81806e924d10019d
30 schema:url https://link.springer.com/10.1007%2F3-540-26932-0_39
31 sgo:license sg:explorer/license/
32 sgo:sdDataset chapters
33 rdf:type schema:Chapter
34 N033dada2ac354e7e81806e924d10019d schema:name Springer Nature - SN SciGraph project
35 rdf:type schema:Organization
36 N06870d84db9445dabe468a778fe0bb34 rdf:first sg:person.014476113041.16
37 rdf:rest N2fa8bc90bfb84c87834d86c8056acee3
38 N070120e5406f40709851f2cfd513fa7f schema:familyName Bastos
39 schema:givenName Luisa
40 rdf:type schema:Person
41 N12c80de60f964758ba9bd61b8f43e622 rdf:first sg:person.010004523243.58
42 rdf:rest N49d38ddf44254db79a74623fa7796c01
43 N221b043776db451d9027fdfca13d1832 rdf:first N870677014edf475cb9b1142b7974ba3d
44 rdf:rest N4aa01c459abf4c00a98b43c49539a330
45 N2fa8bc90bfb84c87834d86c8056acee3 rdf:first sg:person.016671304161.29
46 rdf:rest Nf7189775dfa94b6ebe8c354bb1f17005
47 N39ef944af9db4c758f6a35a58fd330a6 schema:familyName Fernandes
48 schema:givenName Joana
49 rdf:type schema:Person
50 N49d38ddf44254db79a74623fa7796c01 rdf:first sg:person.0714115124.29
51 rdf:rest rdf:nil
52 N4aa01c459abf4c00a98b43c49539a330 rdf:first N070120e5406f40709851f2cfd513fa7f
53 rdf:rest Nb1dc0f479dd94ec28aef7a3890e9a3f7
54 N5bbb52bc182b4252a4900b11fcf9e345 schema:name readcube_id
55 schema:value 2dd9739e26acc17dc08dac9294bd2aed8e706cf6e8ba542dd65f819925ec9983
56 rdf:type schema:PropertyValue
57 N70f713fa354c4ad6aee4a208e87c611c schema:location Berlin/Heidelberg
58 schema:name Springer-Verlag
59 rdf:type schema:Organisation
60 N870677014edf475cb9b1142b7974ba3d schema:familyName Jekeli
61 schema:givenName Christopher
62 rdf:type schema:Person
63 Na88a58c3ac684873a236771d2cb2ed3a schema:name doi
64 schema:value 10.1007/3-540-26932-0_39
65 rdf:type schema:PropertyValue
66 Nb1dc0f479dd94ec28aef7a3890e9a3f7 rdf:first N39ef944af9db4c758f6a35a58fd330a6
67 rdf:rest rdf:nil
68 Nbcc626192b4149d4a06e7ad33bd4d804 schema:name dimensions_id
69 schema:value pub.1009624543
70 rdf:type schema:PropertyValue
71 Nce01a8fbe7af47bca8d9fd61e766101d rdf:first sg:person.013777321634.51
72 rdf:rest N12c80de60f964758ba9bd61b8f43e622
73 Ne2f8ee2dcb3046a8bbaaa1c6a9ddd613 schema:isbn 3-540-26930-4
74 schema:name Gravity, Geoid and Space Missions
75 rdf:type schema:Book
76 Nf7189775dfa94b6ebe8c354bb1f17005 rdf:first sg:person.012513705526.14
77 rdf:rest Nce01a8fbe7af47bca8d9fd61e766101d
78 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
79 schema:name Mathematical Sciences
80 rdf:type schema:DefinedTerm
81 anzsrc-for:0104 schema:inDefinedTermSet anzsrc-for:
82 schema:name Statistics
83 rdf:type schema:DefinedTerm
84 sg:person.010004523243.58 schema:affiliation https://www.grid.ac/institutes/grid.15276.37
85 schema:familyName Carter
86 schema:givenName W.
87 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010004523243.58
88 rdf:type schema:Person
89 sg:person.012513705526.14 schema:affiliation https://www.grid.ac/institutes/grid.15276.37
90 schema:familyName Aggarwal
91 schema:givenName V.
92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012513705526.14
93 rdf:type schema:Person
94 sg:person.013777321634.51 schema:affiliation https://www.grid.ac/institutes/grid.15276.37
95 schema:familyName Lee
96 schema:givenName H.
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013777321634.51
98 rdf:type schema:Person
99 sg:person.014476113041.16 schema:affiliation https://www.grid.ac/institutes/grid.15276.37
100 schema:familyName Slatton
101 schema:givenName K.C.
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014476113041.16
103 rdf:type schema:Person
104 sg:person.016671304161.29 schema:affiliation https://www.grid.ac/institutes/grid.15276.37
105 schema:familyName Nagarajan
106 schema:givenName K.
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016671304161.29
108 rdf:type schema:Person
109 sg:person.0714115124.29 schema:affiliation https://www.grid.ac/institutes/grid.15276.37
110 schema:familyName Shrestha
111 schema:givenName R.
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714115124.29
113 rdf:type schema:Person
114 https://doi.org/10.1016/0098-3004(86)90047-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021120000
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1017/cbo9780511564352 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098709070
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1017/cbo9781139174695 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098668573
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1109/36.377928 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061161227
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1109/36.964984 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061162769
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1109/7.464348 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061214797
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1109/igarss.1996.516474 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093293296
127 rdf:type schema:CreativeWork
128 https://www.grid.ac/institutes/grid.15276.37 schema:alternateName University of Florida
129 schema:name Department of Civil and Coastal Engineering, University of Florida, PO Box 116130, 32611, Gainesville, FL
130 Department of Electrical and Computer Engineering, University of Florida, PO Box 116130, 32611, Gainesville, FL
131 rdf:type schema:Organization
 




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


...