Skip to main content

2020 | OriginalPaper | Buchkapitel

13. Dissertation II: Geo-Techniques

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

This proposal is an example of a technique driven proposal. The proposal is a fine example of the use of graphics to simplify complex methods of analysis and the effectiveness of graphics to convey such information. Additionally, the literature review clearly defines the contribution of the research and is presented in a straightforward fashion using a table structure.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Anhänge
Nur mit Berechtigung zugänglich
Literatur
Zurück zum Zitat Ardo J, Pilesjo P, Skidmore A (1997) Neural networks, multitemporal Landsat Thematic Mapper data and topographic data to classify forest damage in the Czech Republic. Can J Remote Sens 31:217–219CrossRef Ardo J, Pilesjo P, Skidmore A (1997) Neural networks, multitemporal Landsat Thematic Mapper data and topographic data to classify forest damage in the Czech Republic. Can J Remote Sens 31:217–219CrossRef
Zurück zum Zitat Benediktsson JA, Sveinsson JR (1997) Multisource data classification and feature extraction with neural networks. Int J Remote Sens 18:727–740CrossRef Benediktsson JA, Sveinsson JR (1997) Multisource data classification and feature extraction with neural networks. Int J Remote Sens 18:727–740CrossRef
Zurück zum Zitat Benediktsson JA, Sveinsson JR, Ersoy OK (1997) Parallel consensual neural networks. IEEE Trans Neural Networks 8(1):54–64CrossRef Benediktsson JA, Sveinsson JR, Ersoy OK (1997) Parallel consensual neural networks. IEEE Trans Neural Networks 8(1):54–64CrossRef
Zurück zum Zitat Benediktsson JA, Swain PH, Ersoy OK (1990) Neural network approaches versus statistical methods in classification of multisource remote sensing data. IEEE Trans Geosci Remote Sens 28:540–551CrossRef Benediktsson JA, Swain PH, Ersoy OK (1990) Neural network approaches versus statistical methods in classification of multisource remote sensing data. IEEE Trans Geosci Remote Sens 28:540–551CrossRef
Zurück zum Zitat Benediktsson JA, Swain PH, Ersoy OK (1993) Conjugate-gradient neural networks in classification of multisource and very-high-dimensional remote sensing data. Int J Remote Sens 14:2883–2903CrossRef Benediktsson JA, Swain PH, Ersoy OK (1993) Conjugate-gradient neural networks in classification of multisource and very-high-dimensional remote sensing data. Int J Remote Sens 14:2883–2903CrossRef
Zurück zum Zitat Bischof H, Schneider W, Pinz AJ (1992) Multispectral classification of Landsat images using neural networks. IEEE Trans Geosci Remote Sens 30:482–490 CrossRef Bischof H, Schneider W, Pinz AJ (1992) Multispectral classification of Landsat images using neural networks. IEEE Trans Geosci Remote Sens 30:482–490 CrossRef
Zurück zum Zitat Brisco B, Brown RJ (1995) Multidate SAR/TM synergism for crop classification in Western Canada. Photogrammetric Eng Remote Sens 61(8):1009–1014 Brisco B, Brown RJ (1995) Multidate SAR/TM synergism for crop classification in Western Canada. Photogrammetric Eng Remote Sens 61(8):1009–1014
Zurück zum Zitat Bruzzone L, Conese C, Maselli F (1997) Multisource classification of complex rural areas by statistical and neural-network approaches. Photogrammetric Eng Remote Sens 63:523–533 Bruzzone L, Conese C, Maselli F (1997) Multisource classification of complex rural areas by statistical and neural-network approaches. Photogrammetric Eng Remote Sens 63:523–533
Zurück zum Zitat Canny J (1986) A computational approach to edge detection. IEEE Trans Pattern Anal Mach Intell 8(6):679–698 Canny J (1986) A computational approach to edge detection. IEEE Trans Pattern Anal Mach Intell 8(6):679–698
Zurück zum Zitat Carpenter GA, Grossberg S (1987) A massively parallel architecture for a self-organizing neural pattern recognition machine. Comput Vis Graph Image Process 37:54–115CrossRef Carpenter GA, Grossberg S (1987) A massively parallel architecture for a self-organizing neural pattern recognition machine. Comput Vis Graph Image Process 37:54–115CrossRef
Zurück zum Zitat Carpenter GA, Grossberg S (1992) A self-organizing neural network for supervised learning, recognition and prediction. IEEE Commun Mag 38–49 Carpenter GA, Grossberg S (1992) A self-organizing neural network for supervised learning, recognition and prediction. IEEE Commun Mag 38–49
Zurück zum Zitat Chen S, Chen C, Chen M (1998) Neural-fuzzy classification for segmentation of remotely sensed images. IEEE Trans Signal Process 45:2639–2654CrossRef Chen S, Chen C, Chen M (1998) Neural-fuzzy classification for segmentation of remotely sensed images. IEEE Trans Signal Process 45:2639–2654CrossRef
Zurück zum Zitat Cromp RF (1991) Automated extraction of metadata from remotely sensed satellite imagery. In Proceedings, ASPIR_ACSM annual meeting. Baltimore, MD 3:67–77 Cromp RF (1991) Automated extraction of metadata from remotely sensed satellite imagery. In Proceedings, ASPIR_ACSM annual meeting. Baltimore, MD 3:67–77
Zurück zum Zitat Dai XL, Khorran S (1999) Remotely sensed change detection based on artificial neural networks. Photogrammetric Eng Remote Sens 65(10):1187–1194 Dai XL, Khorran S (1999) Remotely sensed change detection based on artificial neural networks. Photogrammetric Eng Remote Sens 65(10):1187–1194
Zurück zum Zitat Dowla FU, Rogers LL (1995) Solving problems in environmental engineering and geosciences with artificial neural networks. Mssachusetts Institute of Technology, Boston, p 239p Dowla FU, Rogers LL (1995) Solving problems in environmental engineering and geosciences with artificial neural networks. Mssachusetts Institute of Technology, Boston, p 239p
Zurück zum Zitat Foody GM (1995a) Using prior knowledge in artificial neural network classification with a minimal training set. Int J Remote Sens 16:301–312CrossRef Foody GM (1995a) Using prior knowledge in artificial neural network classification with a minimal training set. Int J Remote Sens 16:301–312CrossRef
Zurück zum Zitat Foody GM (1995b) Land cover classification using an artificial neural network with ancillary information. Int J Geograph Inform Syst 9:527–542 Foody GM (1995b) Land cover classification using an artificial neural network with ancillary information. Int J Geograph Inform Syst 9:527–542
Zurück zum Zitat Foody GM, Boyd DS (1996) Fuzzy mapping of tropical land cover from remotely sensed data: the use of an artificial neural network for sub-pixel land cover estimation. In: Extended abstracts from the 1st international conference on GeoComputation, University of Leeds, UK, 17–19 September 1996. https://www.ashville.demon.co.uk/gc1996/abs034.htm Foody GM, Boyd DS (1996) Fuzzy mapping of tropical land cover from remotely sensed data: the use of an artificial neural network for sub-pixel land cover estimation. In: Extended abstracts from the 1st international conference on GeoComputation, University of Leeds, UK, 17–19 September 1996. https://​www.​ashville.​demon.​co.​uk/​gc1996/​abs034.​htm
Zurück zum Zitat Foody GM, Boyd DS (1999) Detection of partial land cover change associated with the migration of inter-class transitional zones. Int J Remote Sens 20(14):2723–2740CrossRef Foody GM, Boyd DS (1999) Detection of partial land cover change associated with the migration of inter-class transitional zones. Int J Remote Sens 20(14):2723–2740CrossRef
Zurück zum Zitat Foschi PG, Smith DK (1997) Detecting subpixel woody vegetation in digital imagery using two artificial intelligence approaches. Photogrammetric Eng Remote Sens 63(5):493–500 Foschi PG, Smith DK (1997) Detecting subpixel woody vegetation in digital imagery using two artificial intelligence approaches. Photogrammetric Eng Remote Sens 63(5):493–500
Zurück zum Zitat Frizzelle BG, Moody A (2001) Mapping continuous distributions of land cover: a comparison of maximum-likelihood estimation and artificial neural networks. Photogrammetric Eng Remote Sens 67(6):693–705 Frizzelle BG, Moody A (2001) Mapping continuous distributions of land cover: a comparison of maximum-likelihood estimation and artificial neural networks. Photogrammetric Eng Remote Sens 67(6):693–705
Zurück zum Zitat Gong P (1996) Integrated analysis of spatial data from multiple sources: using evidential reasoning and artificial neural network techniques for geological mapping. Photogrammetric Eng Remote Sens 62(5):513–523 Gong P (1996) Integrated analysis of spatial data from multiple sources: using evidential reasoning and artificial neural network techniques for geological mapping. Photogrammetric Eng Remote Sens 62(5):513–523
Zurück zum Zitat Gurney K (1997) An introduction to neural networks. UCL Press Limited, LondonCrossRef Gurney K (1997) An introduction to neural networks. UCL Press Limited, LondonCrossRef
Zurück zum Zitat Heermann PD, Khazenie N (1992) Classification of multispectral remote sensing data using a back-propagation neural network. IEEE Trans Geosci Remote Sens 30:81–88CrossRef Heermann PD, Khazenie N (1992) Classification of multispectral remote sensing data using a back-propagation neural network. IEEE Trans Geosci Remote Sens 30:81–88CrossRef
Zurück zum Zitat Hornik R, Sejnowski T (1988) Multilayer feedforward networks are universal approximators. Neural Networks 2:359–366CrossRef Hornik R, Sejnowski T (1988) Multilayer feedforward networks are universal approximators. Neural Networks 2:359–366CrossRef
Zurück zum Zitat Huang K, Mausel PM (1994) Comparing a piecewise linear classifier with Gaussian maximum-likelihood and parallelepiped classifiers in terms of accuracy and speed. Photogrammetric Eng Remote Sens 60(11):1333–1338 Huang K, Mausel PM (1994) Comparing a piecewise linear classifier with Gaussian maximum-likelihood and parallelepiped classifiers in terms of accuracy and speed. Photogrammetric Eng Remote Sens 60(11):1333–1338
Zurück zum Zitat Irons JR, Markham BL, Nelson RF, Toll DL, Williams DL, Latty RS, Stauffer ML (1985) The effects of spatial resolution on the classification of Thematic Mapper data. Int J Remote Sens 6(8):1385–1403CrossRef Irons JR, Markham BL, Nelson RF, Toll DL, Williams DL, Latty RS, Stauffer ML (1985) The effects of spatial resolution on the classification of Thematic Mapper data. Int J Remote Sens 6(8):1385–1403CrossRef
Zurück zum Zitat Jensen JR (1986) Introductory digital image processing: a remote sensing perspective. Prentice-Hall, New Jersey, USA, p P379 Jensen JR (1986) Introductory digital image processing: a remote sensing perspective. Prentice-Hall, New Jersey, USA, p P379
Zurück zum Zitat Kanellopoulos I, Wilkinson GG (1997) Strategies and best practice for neural network image classification. Int J Remote Sens 18(4):711–725CrossRef Kanellopoulos I, Wilkinson GG (1997) Strategies and best practice for neural network image classification. Int J Remote Sens 18(4):711–725CrossRef
Zurück zum Zitat Key J, Maslanic A, Schweiger AJ (1989) Classification of merged AVHRR and SMMR arctic data with neural networks. Photogrammetric Eng Remote Sens 55:1331–1338 Key J, Maslanic A, Schweiger AJ (1989) Classification of merged AVHRR and SMMR arctic data with neural networks. Photogrammetric Eng Remote Sens 55:1331–1338
Zurück zum Zitat Kimes DS, Holben BN, Nickeson JE, Mckee A (1996) Extracting forest age in a Pacific Northwest forest from thematic mapper and topographic data. Remote Sens Environ 56:133–140CrossRef Kimes DS, Holben BN, Nickeson JE, Mckee A (1996) Extracting forest age in a Pacific Northwest forest from thematic mapper and topographic data. Remote Sens Environ 56:133–140CrossRef
Zurück zum Zitat Kimes DS, Nelson RF, Manry MT, Fung AK (1998) Attributes of neural networks for extracting continuous vegetation variables from optical and radar measurements. Int J Remote Sens 19(14):2639–2663CrossRef Kimes DS, Nelson RF, Manry MT, Fung AK (1998) Attributes of neural networks for extracting continuous vegetation variables from optical and radar measurements. Int J Remote Sens 19(14):2639–2663CrossRef
Zurück zum Zitat Kimes DS, Nelson RF, Salas WA, Skoles DL (1999) Mapping secondary tropical forest and forest age from SPOT HRV data. Int J Remote Sens 20(18):3625–3640CrossRef Kimes DS, Nelson RF, Salas WA, Skoles DL (1999) Mapping secondary tropical forest and forest age from SPOT HRV data. Int J Remote Sens 20(18):3625–3640CrossRef
Zurück zum Zitat Kung SY, Tuar JS (1996) Decision-based neural networks with signal/image classification applications. IEEE Trans Neural Netw 6:170–181CrossRef Kung SY, Tuar JS (1996) Decision-based neural networks with signal/image classification applications. IEEE Trans Neural Netw 6:170–181CrossRef
Zurück zum Zitat Latty RS, Hoffer RM (1981) Computer-based classification accuracy due to the spatial resolution using per-point versus per-field classification techniques. In: Symposium of machine processing of remotely sensed data, pp 384–392 Latty RS, Hoffer RM (1981) Computer-based classification accuracy due to the spatial resolution using per-point versus per-field classification techniques. In: Symposium of machine processing of remotely sensed data, pp 384–392
Zurück zum Zitat Lee J, Weger RC, Sengupta SK, Welsch RM (1990) A neural network approach to cloud classification. IEEE Trans Geosci Remote Sens 28:846–855CrossRef Lee J, Weger RC, Sengupta SK, Welsch RM (1990) A neural network approach to cloud classification. IEEE Trans Geosci Remote Sens 28:846–855CrossRef
Zurück zum Zitat Lippmann RP (1987) An introduction to computing with neural networks. IEEE ASSP Mag 713–715 Lippmann RP (1987) An introduction to computing with neural networks. IEEE ASSP Mag 713–715
Zurück zum Zitat Markham BL, Townshend JRG (1981) Land cover classification accuracy as a function of sensor spatial resolution. In: Proceedings of the fifteenth international symposium on remote sensing of environment, Ann Arbor, Michigan, pp1075–1090 Markham BL, Townshend JRG (1981) Land cover classification accuracy as a function of sensor spatial resolution. In: Proceedings of the fifteenth international symposium on remote sensing of environment, Ann Arbor, Michigan, pp1075–1090
Zurück zum Zitat Marceau DJ, Hay GJ (1999) Remote sensing contributions to the scale issue. Can J Remote Sens 25(4):357–366CrossRef Marceau DJ, Hay GJ (1999) Remote sensing contributions to the scale issue. Can J Remote Sens 25(4):357–366CrossRef
Zurück zum Zitat Maselli F, Conese C, de Filippis T, Romani M (1995) Integration of ancillary data into a maximum likelihood classification with nonparametric priors. ISPRS J Photogrammetry Remote Sens 50:2–11CrossRef Maselli F, Conese C, de Filippis T, Romani M (1995) Integration of ancillary data into a maximum likelihood classification with nonparametric priors. ISPRS J Photogrammetry Remote Sens 50:2–11CrossRef
Zurück zum Zitat Mather P (1999a) Computer processing of remotely sensed images: an introduction, 2nd edn. Wiley, West Sussex, England, 292p Mather P (1999a) Computer processing of remotely sensed images: an introduction, 2nd edn. Wiley, West Sussex, England, 292p
Zurück zum Zitat Mather PM (1999b) Computer processing of remotely sensed images: an introduction, 2nd edn. Wiley, Chicester, 292p. ISBN 0-471-98550-3 Mather PM (1999b) Computer processing of remotely sensed images: an introduction, 2nd edn. Wiley, Chicester, 292p. ISBN 0-471-98550-3
Zurück zum Zitat Mausel P, Wu Y, Li Y, Moran EF, Brondizio ES (1993) Spectral identification of successional stages following deforestation in the Amazon. Geocarto Int 8(4):61–71CrossRef Mausel P, Wu Y, Li Y, Moran EF, Brondizio ES (1993) Spectral identification of successional stages following deforestation in the Amazon. Geocarto Int 8(4):61–71CrossRef
Zurück zum Zitat Meyer P, Staenz K, Itten KI (1996) Semi-automated procedures for tree species identification in high spatial resolution data from digitized colour infrared-aerial photography. ISPRS J Photogrammetry Remote Sens 51(1):5–16CrossRef Meyer P, Staenz K, Itten KI (1996) Semi-automated procedures for tree species identification in high spatial resolution data from digitized colour infrared-aerial photography. ISPRS J Photogrammetry Remote Sens 51(1):5–16CrossRef
Zurück zum Zitat Moran EF, Brondizio E, Mausel P (1994) Secondary succession: monitoring secondary succession and land-use change in Amazonia. Natl Geogr Res Explor 10(4):458–476 Moran EF, Brondizio E, Mausel P (1994) Secondary succession: monitoring secondary succession and land-use change in Amazonia. Natl Geogr Res Explor 10(4):458–476
Zurück zum Zitat Muchoney D, Williamson J (2001) A Gaussian adaptive resonance theory neural net work classification algorithms applied to supervised land cover mapping using multitemporal vegetation index data. IEEE Trans Geosci Remote Sens 39(9):1969–1977CrossRef Muchoney D, Williamson J (2001) A Gaussian adaptive resonance theory neural net work classification algorithms applied to supervised land cover mapping using multitemporal vegetation index data. IEEE Trans Geosci Remote Sens 39(9):1969–1977CrossRef
Zurück zum Zitat Paola J, Schowengerdt RA (1995a) A detailed comparison of back-propagation neural networks and maximum-likelihood classifiers for urban land use classification. IEEE Trans Geosci Remote Sens 33:981–996 Paola J, Schowengerdt RA (1995a) A detailed comparison of back-propagation neural networks and maximum-likelihood classifiers for urban land use classification. IEEE Trans Geosci Remote Sens 33:981–996
Zurück zum Zitat Paola JD, Schowengerdt RA (1995b) A review and analysis of back-propagation neural networks for classification of remotely-sensed multi-spectral imagery. Int J Remote Sens 16(16):3033–3058 Paola JD, Schowengerdt RA (1995b) A review and analysis of back-propagation neural networks for classification of remotely-sensed multi-spectral imagery. Int J Remote Sens 16(16):3033–3058
Zurück zum Zitat Price KP, Egbert SL, Nellis MD, Lee R, Boyce R (1997) Mapping land cover in a high plains agro-ecosystem using a multi-date Landsat Thematic Mapper modeling approach. Trans Kansas Acad Sci 100(1/2):21–33CrossRef Price KP, Egbert SL, Nellis MD, Lee R, Boyce R (1997) Mapping land cover in a high plains agro-ecosystem using a multi-date Landsat Thematic Mapper modeling approach. Trans Kansas Acad Sci 100(1/2):21–33CrossRef
Zurück zum Zitat Ranson KJ, Sun G (1997) An evaluation of AIRSAR and SIR-C/X-SAR data for estimating northern forest attributes. Remote Sens Environ 59:203–222CrossRef Ranson KJ, Sun G (1997) An evaluation of AIRSAR and SIR-C/X-SAR data for estimating northern forest attributes. Remote Sens Environ 59:203–222CrossRef
Zurück zum Zitat Ranson KJ, Sun G, Knox RG, Levine ER, Weishampel JF, Fifer ST (1997) Using coupled models and GIS for understanding northern forest ecosystem dynamics, In: 4th international conference on GIS-Beijing’97, Beijing, China, 19–22 August 1997 Ranson KJ, Sun G, Knox RG, Levine ER, Weishampel JF, Fifer ST (1997) Using coupled models and GIS for understanding northern forest ecosystem dynamics, In: 4th international conference on GIS-Beijing’97, Beijing, China, 19–22 August 1997
Zurück zum Zitat Skidmore AK, Turner BJ, Brinkhof W, Knowles E (1997) Performance of a neural network: mapping forests using GIS and remotely sensed data. Photogrammetric Eng Remote Sens 63:501–514 Skidmore AK, Turner BJ, Brinkhof W, Knowles E (1997) Performance of a neural network: mapping forests using GIS and remotely sensed data. Photogrammetric Eng Remote Sens 63:501–514
Zurück zum Zitat Skole DL, Chomentowski WH, Salas WA, Nobre AD (1994) Physical and human dimensions of deforestation in Amazonia. Bioscience 44(5):314–323CrossRef Skole DL, Chomentowski WH, Salas WA, Nobre AD (1994) Physical and human dimensions of deforestation in Amazonia. Bioscience 44(5):314–323CrossRef
Zurück zum Zitat Tag PM, Bankert RL, Brody LR (2000) An AVHRR multiple cloud-type classification package. J Appl Meteorol 39(2):125–134CrossRef Tag PM, Bankert RL, Brody LR (2000) An AVHRR multiple cloud-type classification package. J Appl Meteorol 39(2):125–134CrossRef
Zurück zum Zitat Tatem AJ, Lewis HG, Atkinson PM (2001) Super-resolution target identification from remotely sensed images using a Hopfield neural network. IEEE Trans Geosci Remote Sens 39(4):781–796CrossRef Tatem AJ, Lewis HG, Atkinson PM (2001) Super-resolution target identification from remotely sensed images using a Hopfield neural network. IEEE Trans Geosci Remote Sens 39(4):781–796CrossRef
Zurück zum Zitat Tian B, Shaikh MA, Azimi-Sadjadi MR (1999) A study of cloud classification with neural networks using spectral and textural features. IEEE Trans Neural Networks 10(1):138–151CrossRef Tian B, Shaikh MA, Azimi-Sadjadi MR (1999) A study of cloud classification with neural networks using spectral and textural features. IEEE Trans Neural Networks 10(1):138–151CrossRef
Zurück zum Zitat Treitz P, Howarth P (2000) Integrating spectral, spatial, and terrain variables for forest ecosystem classification. Photogrammetric Eng Remote Sens 66(3):305–317 Treitz P, Howarth P (2000) Integrating spectral, spatial, and terrain variables for forest ecosystem classification. Photogrammetric Eng Remote Sens 66(3):305–317
Zurück zum Zitat Zurada JM (1992) Introduction to artificial neural systems. PWS Publishing Company, Boston, USA, pp 163–250. ISBN 0-534-95460-X Zurada JM (1992) Introduction to artificial neural systems. PWS Publishing Company, Boston, USA, pp 163–250. ISBN 0-534-95460-X
Metadaten
Titel
Dissertation II: Geo-Techniques
verfasst von
Genong Yu
Copyright-Jahr
2020
DOI
https://doi.org/10.1007/978-3-030-60019-8_13