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An underground-mining detection system based on DInSAR / Z. Hu in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 2 (January 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 1 Tome 2 (January 2013) . - pp 615 - 625 Titre : An underground-mining detection system based on DInSAR Type de document : Article/Communication Auteurs : Z. Hu, Auteur ; Linlin Ge, Auteur ; X. Li, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 615 - 625 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] carrière souterraine [Termes IGN] Chine [Termes IGN] image ALOS-PALSAR [Termes IGN] image radar moirée [Termes IGN] interferométrie différentielle [Termes IGN] mine de charbon [Termes IGN] subsidence Résumé : (Auteur) Underground mining easily causes casualties, and illegal mining is a major contributor to this issue. It is a challenge to locate and differentiate illegal mines from approved mines over a vast area. Over the past few years, our research in satellite differential radar interferometry (DInSAR) to monitor underground-mine-induced surface subsidence has demonstrated the reliability of DInSAR. In this paper, a DInSAR-based illegal-mining detection system (DIMDS) is proposed to exploit the geometric, spatial, and temporal characteristics of those subsidence patterns. Testing results over a coalfield in Asia have proven the efficiency, reliability, and cost effectiveness of DIMDS in finding out illegal mines. Numéro de notice : A2013-018 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2202243 En ligne : https://doi.org/10.1109/TGRS.2012.2202243 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32156 [article]

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065-2013011B	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Detection of roadway sign condition changes using multi-scale sign image matching (M-SIM) / Y.J. Tsai in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 4 (April 2010)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 4 (April 2010) . - pp 391 - 405 Titre : Detection of roadway sign condition changes using multi-scale sign image matching (M-SIM) Type de document : Article/Communication Auteurs : Y.J. Tsai, Auteur ; Z. Hu, Auteur ; C. Alberti, Auteur Année de publication : 2010 Article en page(s) : pp 391 - 405 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse d'image numérique [Termes IGN] appariement d'images [Termes IGN] classification [Termes IGN] détection de changement [Termes IGN] données multiéchelles [Termes IGN] image vidéo [Termes IGN] Louisiane (Etats-Unis) [Termes IGN] positionnement par GPS [Termes IGN] réseau routier [Termes IGN] signalisation routière Résumé : (Auteur) Roadway signs are important for safety, and transportation agencies need to identify sign condition changes to perform timely maintenance, including replacement. Currently, sign condition changes are inspected manually in the field, which is time consuming, costly, and some--times dangerous. This paper first proposes a novel algorithm to detect three condition changes: missing, tilted, and blocked signs, using GPS data and video log images. The algorithm consists of three steps: (a) Multi-Scale Sign Image Matching (m-sim), (b) Image feature analysis, and (c) Sign condition change detection and classification. The algorithm was tested using images with simulated sign condition changes and actual video images taken in Fiscal Year (fy) 2003 and 2005 by the Louisiana Department of Transportation and Development (ladotd). The tests demonstrate the algorithm is effective to detect three types of sign condition changes. Out of 34,000 actual video log images, the algorithm detected and classified 100 percent of the missing signs, 72.7 percent of the tilted signs, and 66.7 percent of the blocked signs, for an overall 74.3 percent detection rate. These results show that the algorithm is useful for developing an intelligent roadway sign condition change detection system. Copyright ASPRS Numéro de notice : A2010-120 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.4.391 En ligne : https://doi.org/10.14358/PERS.76.4.391 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30316 [article]

Geometric information from Ikonos: strict and highly accurate solution based on VirtuoZo / Z. Hu in GIM international, vol 17 n° 9 (September 2003)

Public [article]  inGIM international > vol 17 n° 9 (September 2003) . - pp 42 - 45 Titre : Geometric information from Ikonos: strict and highly accurate solution based on VirtuoZo Type de document : Article/Communication Auteurs : Z. Hu, Auteur Année de publication : 2003 Article en page(s) : pp 42 - 45 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] analyse comparative [Termes IGN] erreur moyenne quadratique [Termes IGN] image à résolution métrique [Termes IGN] image Ikonos [Termes IGN] image panchromatique [Termes IGN] modèle numérique de terrain [Termes IGN] modèle par fonctions rationnelles [Termes IGN] point d'appui [Termes IGN] résidu Résumé : (Auteur) Since the pixel size of panchromatic Ikonos imagery is one metre, it is desirable that the planimetric and height error after georeferencing be smaller. Which method provides this high accuracy requirement ? Three processing methods have been tested : (1) Ikonos RPC parameters only, (2) an associated adjustment of RPC parameters with control points and (3) a strict geometric model based on affine transformation. The adjustment of RPC parameters with one or two control points improves accuracy significantly, especially in elevation. Using only five control points, the strict model yields very high accuracy of 5 to 12 cm in X,Y and Z with one pair of stereo images covering. This method does not need RPC coefficients, whilst the coordinate system can be any independent one. The strict model represents a new step forward, both in theory and application, for high-resolution Ikonos imagery processing. Numéro de notice : A2003-238 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22533 [article]

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061-03091	RAB	Revue	Centre de documentation	En réserve L003	Disponible