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Prototype de systeme expert pour l'a...

Leduc, Francois.

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Prototype de systeme expert pour l'analyse de l'imagerie satellitale dans un contexte de mise a jour des cartes de l'inventaire forestier (French text).

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Prototype de systeme expert pour l'analyse de l'imagerie satellitale dans un contexte de mise a jour des cartes de l'inventaire forestier (French text)./
作者:	Leduc, Francois.
面頁冊數:	231 p.
附註:	Source: Dissertation Abstracts International, Volume: 64-10, Section: B, page: 4837.
Contained By:	Dissertation Abstracts International64-10B.
標題:	Physical Geography. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NQ84993
ISBN:	0612849937

Prototype de systeme expert pour l'analyse de l'imagerie satellitale dans un contexte de mise a jour des cartes de l'inventaire forestier (French text).
Leduc, Francois.

Prototype de systeme expert pour l'analyse de l'imagerie satellitale dans un contexte de mise a jour des cartes de l'inventaire forestier (French text). - 231 p.

Source: Dissertation Abstracts International, Volume: 64-10, Section: B, page: 4837.

Thesis (Ph.D.)--Universite de Montreal (Canada), 2003.

The objective of this thesis consists in proposing a theoretical framework for knowledge representation and uncertainty management in the implementation of an expert system specialized in forest map updating using mid-resolution satellite images.

ISBN: 0612849937Subjects--Topical Terms:

893400
Physical Geography.

Prototype de systeme expert pour l'analyse de l'imagerie satellitale dans un contexte de mise a jour des cartes de l'inventaire forestier (French text).
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245 1 0 $a Prototype de systeme expert pour l'analyse de l'imagerie satellitale dans un contexte de mise a jour des cartes de l'inventaire forestier (French text).
300 $a 231 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-10, Section: B, page: 4837.
500 $a Co-Directeurs: Francois Cavayas; Basel Solaiman.
502 $a Thesis (Ph.D.)--Universite de Montreal (Canada), 2003.
520 $a The objective of this thesis consists in proposing a theoretical framework for knowledge representation and uncertainty management in the implementation of an expert system specialized in forest map updating using mid-resolution satellite images.
520 $a This research is concerned with temporal changes study in which two data sets are needed at time T0 and time T1 (before and after). One of the particularity of this thesis is to compare two data sets of different nature: a forest map (symbolic representation) at time T0 and satellite imagery (numerical information) at time T1.
520 $a The proposed system works in three steps. First, the knowledge base is created and serves as a link between the map and the image. Second, the image is analysed using the map in order to detect changes. Finally, changes are interpreted by the system.
520 $a The forest map acts as a rich source of prior knowledge about the terrain and it is used to extract spectral knowledge about objects. For objects suspected to be present on the ground but not represented on the map, external sources of knowledge are used. Spectral knowledge about objects is represented by fuzzy sets related to fuzzy logic theory.
520 $a Image analysis is done at the polygonal level where a polygon corresponds to an homogeneous forest stand. In fact, a polygon can be segmented in which case, change is analysed at the zone (sub-polygon) level. Change detection is done by comparing the mean reflectance value of one zone to the fuzzy set of the initial class to which the zone belongs.
520 $a If a change is detected, membership values to all considered classes are computed and this for each spectral band used. After, membership values are transformed into elementary belief (masses) values in the context of the Dempster-Shafer theory. Number of mass functions is equal to the number of spectral bands. A final decision about changes is taken by fusing all mass functions. Decision is based on belief on pignistic probabilities. The transformation of membership values into mass functions constitutes an important and original part of this thesis.
520 $a The expert system developed in the framework of this thesis uses metaknowledge expressed as production rules. These rules allow to control the reasoning process done by the system.
590 $a School code: 0992.
650 4 $a Physical Geography. $3 893400
650 4 $a Remote Sensing. $3 1018559
650 4 $a Agriculture, Forestry and Wildlife. $3 783690
690 $a 0368
690 $a 0799
690 $a 0478
710 2 0 $a Universite de Montreal (Canada). $3 1018132
773 0 $t Dissertation Abstracts International $g 64-10B.
790 1 0 $a Cavayas, Francois, $e advisor
790 1 0 $a Solaiman, Basel, $e advisor
790 $a 0992
791 $a Ph.D.
792 $a 2003
793 $a French
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NQ84993