{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,6,22]],"date-time":"2023-06-22T09:53:42Z","timestamp":1687427622046},"reference-count":22,"publisher":"International Academy Publishing (IAP)","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JSW"],"DOI":"10.4304\/jsw.8.4.995-1002","type":"journal-article","created":{"date-parts":[[2013,4,1]],"date-time":"2013-04-01T21:39:22Z","timestamp":1364852362000},"source":"Crossref","is-referenced-by-count":1,"title":["Multi-information Based Safe Area Step Selection Algorithm for UAV\u2019s Emergency Forced Landing"],"prefix":"10.17706","volume":"8","author":[{"given":"Aiying","family":"Lu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenrui","family":"Ding","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongguang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7163","published-online":{"date-parts":[[2013,4,1]]},"reference":[{"key":"ref1","article-title":"T. John Koo. \"Vision Based Navigation for an Unmanned Aerial Vehicle","volume-title":"Proc of the IEEE International Conference on Robotics an Automation","author":"Sinopoli","year":"2005","unstructured":"[1] Bruno Sinopoli, Mario Micheli, Gianluca Donatoy, T. John Koo. \"Vision Based Navigation for an Unmanned Aerial Vehicle\", Proc. of the IEEE International Conference on Robotics an Automation, 2005."},{"key":"ref2","article-title":"A Vision Based Emergency Forced Landing System for an Autonomous UAV","volume-title":"Proceedings Australian International Aerospace Congress Conference","author":"Fitzgerald","year":"2005","unstructured":"[3] Daniel Fitzgerald, Dr Rodney Walker and Dr Duncan Campbell, \"A Vision Based Emergency Forced Landing System for an Autonomous UAV\", In Proceedings Australian International Aerospace Congress Conference, Melbourne Australia, 2005."},{"key":"ref3","doi-asserted-by":"crossref","DOI":"10.2514\/6.2005-6405","volume-title":"Classification of Candidate Landing Sites for UAV Forced Landings","author":"Fitzgerald","year":"2005","unstructured":"[4] Daniel Fitzgerald and Dr Rodney Walker. \"Classification of Candidate Landing Sites for UAV Forced Landings\". AIAA Guidance, Navigation, and Control Conference and Exhibit, 2005."},{"key":"ref4","volume-title":"Advantages and disadvantages of common classifiers","author":"Wei","year":"2009","unstructured":"[5] Li Wei. \"Advantages and disadvantages of common classifiers\", Science Application, 2009."},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.mcm.2005.02.008"},{"issue":"No. 7","key":"ref6","first-page":"1046","article-title":"A method of soil salinization information extraction with SVM classification based on ICA and texture features","volume":"12","author":"Fei","year":"2011","unstructured":"[7] Zhang Fei, Tashpolat Tiyip, Kung Hsiang-te, Ding Jian-li, et al. \"A method of soil salinization information extraction with SVM classification based on ICA and texture features\", Agricultural Science & Technology, Vol. 12, No. 7, pp. 1046-1049, 2011.","journal-title":"Agricultural Science & Technology"},{"issue":"No. 9","key":"ref7","first-page":"3588","article-title":"Adaptive Canny edge detection algorithm","volume":"27","author":"Lixia","year":"2010","unstructured":"[10] Xue Lixia, Li Tao, Wang Zuocheng, \"Adaptive Canny edge detection algorithm\", Application Research of Computers, Vol. 27, No. 9, pp. 3588-3590, Sep. 2010.","journal-title":"Application Research of Computers"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/S0198-9715(03)00019-X"},{"key":"ref9","first-page":"819","article-title":"Pontificia Univ. Catolica do Rio de Janeiro, Rio de Janeiro, Brazil, \"Simulation of the effects of different urban environments on GPS performance using digital elevation models and building databases \", Intelligent Transportation Systems","volume":"12","year":"2011","unstructured":"[13] Centro de Estudos em Telecomun, Pontificia Univ. Catolica do Rio de Janeiro, Rio de Janeiro, Brazil, \"Simulation of the effects of different urban environments on GPS performance using digital elevation models and building databases \", Intelligent Transportation Systems, IEEE Transactions on, Vol. 12, pp. 819-829, Sept. 2011.","journal-title":"IEEE Transactions on"},{"key":"ref10","volume-title":"The research about active learning algorithm of SVM in classification of ground features","author":"Haiyuan","year":"2009","unstructured":"[15] Gu Haiyuan, \"The research about active learning algorithm of SVM in classification of ground features\", Nanjing: Nanjing University of Science. 2009."},{"issue":"No. 1","key":"ref11","first-page":"66","article-title":"The scene identification of texture feature based on gray level co-occurrence matrix","volume":"29","author":"Ju","year":"2009","unstructured":"[16] Tan Ju, Zhang Youzhong, \"The scene identification of texture feature based on gray level co-occurrence matrix\", Journal of Chongqing University of Arts and Sciences (Natural Science Edition), vol. 29, No. 1, pp. 66-68, February 2009.","journal-title":"Journal of Chongqing University of Arts and Sciences"},{"issue":"No.6","key":"ref12","first-page":"22","article-title":"Texture image classification based on multi-featrue extraction and SVM classifier","volume":"28","author":"Yinfeng","year":"2011","unstructured":"[17] Tang Yinfeng, Huang Zhiming, Huang Rongjuan, Jiang Jiaxin. \"Texture image classification based on multi-featrue extraction and SVM classifier\", Computer Applications and Software, Vol.28, No.6, pp. 22-26, Jun. 2011.","journal-title":"Computer Applications and Software"},{"key":"ref13","volume-title":"\"Kernel based learning approach for satellite image classification using support vector machine\" Recent Advances in Intelligent Computational Systems","author":"Costa","year":"2011","unstructured":"[20] Costa, E., \"Kernel based learning approach for satellite image classification using support vector machine\", Recent Advances in Intelligent Computational Systems (RAICS), 2011."},{"key":"ref14","first-page":"12","article-title":"Fast Image Classification Algorithm Based on Local Feature","volume":"35","author":"Weiqiang","year":"2009","unstructured":"[21] Hu Weiqiang, Zhang Congpin, Liu Chao, Chen Zhifang. \"Fast Image Classification Algorithm Based on Local Feature\". Computer Engineering, vol. 35, pp. 12-17, 2009.","journal-title":"Computer Engineering"},{"key":"ref14","unstructured":"[2] Paolo Raspa, Emanuele Frontoni, Adriano Mancini, Primo Zingaretti, Sauro Longhi. \"Helicopter safe landing using vision and 3D sensing\", 2003."},{"key":"ref14","unstructured":"[8] Mi Lin, Ma Yazhou, et al. \"Improved Method of Edge Detection Based on Canny Theory. Natural Science\", 2010, 24 (5)."},{"key":"ref14","unstructured":"[9] Su Heng-yang, Yuan Xian-zhen. \"An Improved Canny Edge Detection Algorithm\". Computer simulation. 2010. 27 (10)."},{"key":"ref14","unstructured":"[11] Duan Yihui, \"An Improved Canny Edge Detection Algorithm\", Guangxi Physics, Vol. 30, No. 4, 2009."},{"key":"ref14","unstructured":"[14] Hyun Jo, Martens, W.L., Youngjin Park, \" Evaluation of three different standard head-related transfer functions using an elevation discrimination task for virtual sources displayed in the median plane\", Control Automation and Systems, pp. 2055-2060, Oct. 2010."},{"key":"ref14","unstructured":"[18] Huang Rongjuan, Jiang Jiaxin, Tang Yinfeng, Lu Xin, \"Feature combination based image texture classification\", Computer Applications and Software, Vol.28, No.8, Aug. 2011."},{"key":"ref14","doi-asserted-by":"crossref","unstructured":"[19] Gao Guohua, Zhang Yongzhong, Zhu Yu, Duan Guanghuang, \"Hybrid support vector machines-based multi-fault classification\", Journal of China University of Mining & Technology, vol. 17, No.2, Jun. 2007.","DOI":"10.1016\/S1006-1266(07)60081-9"},{"key":"ref14","unstructured":"[22] Zhang Xiaohong, Zhang Qian. \"A Bayesian based image classification algorithm. Computer Applications and Software\", vol. 26, no. 9, 2009."}],"container-title":["Journal of Software"],"original-title":[],"deposited":{"date-parts":[[2019,7,11]],"date-time":"2019-07-11T16:31:52Z","timestamp":1562862712000},"score":1,"resource":{"primary":{"URL":"http:\/\/ojs.academypublisher.com\/index.php\/jsw\/article\/view\/8019"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,4,1]]},"references-count":22,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2013,4,1]]}},"URL":"https:\/\/doi.org\/10.4304\/jsw.8.4.995-1002","relation":{},"ISSN":["1796-217X"],"issn-type":[{"value":"1796-217X","type":"print"}],"subject":[],"published":{"date-parts":[[2013,4,1]]}}}