{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T00:37:27Z","timestamp":1726015047894},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811360510"},{"type":"electronic","value":"9789811360527"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-981-13-6052-7_39","type":"book-chapter","created":{"date-parts":[[2019,3,11]],"date-time":"2019-03-11T12:04:19Z","timestamp":1552305859000},"page":"451-460","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Deep-Learning-Based Low-Altitude Remote Sensing Algorithm for Weed Classification in Ecological Irrigation Area"],"prefix":"10.1007","author":[{"given":"Shubo","family":"Wang","sequence":"first","affiliation":[]},{"given":"Yu","family":"Han","sequence":"additional","affiliation":[]},{"given":"Jian","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Yue","family":"Pan","sequence":"additional","affiliation":[]},{"given":"Yi","family":"Cao","sequence":"additional","affiliation":[]},{"given":"Hao","family":"Meng","sequence":"additional","affiliation":[]},{"given":"Yongjun","family":"Zheng","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,3,12]]},"reference":[{"key":"39_CR1","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.compag.2017.07.028","volume":"141","author":"Y Zheng","year":"2017","unstructured":"Zheng, Y., Zhu, Q., Huang, M., Guo, Y., Qin, J.: Maize and weed classification using color indices with support vector data description in outdoor fields. Comput. Electron. Agric. 141, 215\u2013222 (2017)","journal-title":"Comput. Electron. Agric."},{"key":"39_CR2","doi-asserted-by":"crossref","unstructured":"Shahbudin, S., Hussain, A., Samad, S.A., Mustafa, M.M., Ishak, A.J.: Optimal feature selection for SVM based weed classification via visual analysis. In: TENCON 2010 - 2010 IEEE Region 10 Conference, pp. 1647\u20131650 (2011)","DOI":"10.1109\/TENCON.2010.5686770"},{"issue":"1","key":"39_CR3","doi-asserted-by":"crossref","first-page":"588","DOI":"10.1109\/LRA.2017.2774979","volume":"3","author":"I Sa","year":"2017","unstructured":"Sa, I., et al.: weedNet: dense semantic weed classification using multispectral images and MAV for smart farming. IEEE Robot. Autom. Lett. 3(1), 588\u2013595 (2017)","journal-title":"IEEE Robot. Autom. Lett."},{"key":"39_CR4","doi-asserted-by":"crossref","unstructured":"Ahmad, I., Siddiqi, M.H., Fatima, I., Lee, S., Lee, Y.K.: Weed classification based on Haar wavelet transform via k-nearest neighbor (k-NN) for real-time automatic sprayer control system. In: International Conference on Ubiquitous Information Management and Communication, pp. 1\u20136 (2011)","DOI":"10.1145\/1968613.1968634"},{"issue":"18","key":"39_CR5","first-page":"3215","volume":"4","author":"F Vesali","year":"2012","unstructured":"Vesali, F., Gharibkhani, M., Komarizadeh, M.H.: Performance evaluation of discriminant analysis and decision tree, for weed classification of potato fields. Res. J. Appl. Sci. Eng. Technol. 4(18), 3215\u20133221 (2012)","journal-title":"Res. J. Appl. Sci. Eng. Technol."},{"key":"39_CR6","doi-asserted-by":"crossref","unstructured":"Lavania, S., Matey, P.S.: Novel method for weed classification in maize field using Otsu and PCA implementation. In: IEEE International Conference on Computational Intelligence & Communication Technology, pp. 534\u2013537 (2015)","DOI":"10.1109\/CICT.2015.71"},{"key":"39_CR7","unstructured":"Okamoto, K., Okamoto, K., Okamoto, K.: Efficient mobile implementation of a CNN-based object recognition system. In: ACM on Multimedia Conference, pp. 362\u2013366 (2016)"},{"issue":"8\u201310","key":"39_CR8","doi-asserted-by":"crossref","first-page":"2662","DOI":"10.1080\/01431161.2017.1296206","volume":"38","author":"A Qayyum","year":"2017","unstructured":"Qayyum, A., et al.: Scene classification for aerial images based on CNN using sparse coding technique. Int. J. Remote Sens. 38(8\u201310), 2662\u20132685 (2017)","journal-title":"Int. J. Remote Sens."},{"key":"39_CR9","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/j.cag.2017.10.007","volume":"71","author":"S Zhi","year":"2017","unstructured":"Zhi, S., Liu, Y., Li, X., Guo, Y.: Toward real-time 3D object recognition: a lightweight volumetric CNN framework using multitask learning. Comput. Graph. 71, 199\u2013207 (2017)","journal-title":"Comput. Graph."},{"key":"39_CR10","doi-asserted-by":"crossref","unstructured":"Castiglioni, C.A., Rabuffetti, A.S., Chiarelli, G.P., Brambilla, G., Georgi, J.: Unmanned aerial vehicle (UAV) application to the structural health assessment of large civil engineering structures. In: International Conference on Remote Sensing and Geoinformation of the Environment, p. 1044414 (2017)","DOI":"10.1117\/12.2277921"},{"issue":"9","key":"39_CR11","doi-asserted-by":"crossref","first-page":"1823","DOI":"10.1109\/LGRS.2015.2429894","volume":"12","author":"S Li","year":"2015","unstructured":"Li, S., et al.: Unsupervised detection of earthquake-triggered roof-holes from UAV images using joint color and shape features. IEEE Geosci. Remote Sens. Lett. 12(9), 1823\u20131827 (2015)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"39_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1007\/978-3-319-48896-7_7","volume-title":"Advances in Multimedia Information Processing - PCM 2016","author":"W Shi","year":"2016","unstructured":"Shi, W., Gong, Y., Wang, J., Zheng, N.: Integrating supervised Laplacian objective with CNN for object recognition. In: Chen, E., Gong, Y., Tie, Y. (eds.) PCM 2016. LNCS, vol. 9917, pp. 64\u201373. Springer, Cham (2016). \n https:\/\/doi.org\/10.1007\/978-3-319-48896-7_7"},{"key":"39_CR13","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/j.ijleo.2017.09.071","volume":"150","author":"H Wu","year":"2017","unstructured":"Wu, H., et al.: CNN refinement based object recognition through optimized segmentation. Optik \u2013 Int. J. Light Electron Opt. 150, 76\u201382 (2017)","journal-title":"Optik \u2013 Int. J. Light Electron Opt."},{"issue":"3","key":"39_CR14","doi-asserted-by":"crossref","first-page":"712","DOI":"10.3390\/s18030712","volume":"18","author":"Y Zhao","year":"2018","unstructured":"Zhao, Y., Ma, J., Li, X., Zhang, J.: Saliency detection and deep learning-based wildfire identification in UAV imagery. Sensors 18(3), 712 (2018)","journal-title":"Sensors"},{"issue":"1","key":"39_CR15","doi-asserted-by":"crossref","first-page":"22","DOI":"10.3390\/rs9010022","volume":"9","author":"W Li","year":"2016","unstructured":"Li, W., Fu, H., Yu, L., Cracknell, A.: Deep learning based oil palm tree detection and counting for high-resolution remote sensing images. Remote Sens. 9(1), 22 (2016)","journal-title":"Remote Sens."},{"issue":"4","key":"39_CR16","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1162\/neco.1989.1.4.541","volume":"1","author":"Y Lecun","year":"1989","unstructured":"Lecun, Y., et al.: Backpropagation applied to handwritten zip code recognition. Neural Comput. 1(4), 541\u2013551 (1989)","journal-title":"Neural Comput."},{"issue":"11","key":"39_CR17","doi-asserted-by":"crossref","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y Lecun","year":"1998","unstructured":"Lecun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"}],"container-title":["Communications in Computer and Information Science","Intelligent Technologies and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-13-6052-7_39","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,21]],"date-time":"2019-05-21T00:04:52Z","timestamp":1558397092000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-13-6052-7_39"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9789811360510","9789811360527"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-13-6052-7_39","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"12 March 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"INTAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Technologies and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bahawalpur","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pakistan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 October 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 October 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"intap2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/jdconline.net\/intap\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}