{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T17:15:28Z","timestamp":1765041328572,"version":"3.40.3"},"publisher-location":"Cham","reference-count":40,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031162022"},{"type":"electronic","value":"9783031162039"}],"license":[{"start":{"date-parts":[[2022,9,14]],"date-time":"2022-09-14T00:00:00Z","timestamp":1663113600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,9,14]],"date-time":"2022-09-14T00:00:00Z","timestamp":1663113600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-16203-9_24","type":"book-chapter","created":{"date-parts":[[2022,9,13]],"date-time":"2022-09-13T05:07:28Z","timestamp":1663045648000},"page":"407-425","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Processing Technology of\u00a0Thematic Identification and\u00a0Classification of\u00a0Objects in\u00a0the\u00a0Multispectral Remote Sensing Imagery"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3140-3788","authenticated-orcid":false,"given":"Volodymyr","family":"Hnatushenko","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4931-4070","authenticated-orcid":false,"given":"Yana","family":"Shedlovska","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1920-7717","authenticated-orcid":false,"given":"Igor","family":"Shedlovsky","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,9,14]]},"reference":[{"issue":"4","key":"24_CR1","doi-asserted-by":"publisher","first-page":"1275","DOI":"10.1080\/01431161.2018.1524587","volume":"40","author":"HA Abdu","year":"2019","unstructured":"Abdu, H.A.: Classification accuracy and trend assessments of land cover-land use changes from principal components of land satellite images. Int. J. Remote Sens. 40(4), 1275\u20131300 (2019). https:\/\/doi.org\/10.1080\/01431161.2018.1524587","journal-title":"Int. J. Remote Sens."},{"doi-asserted-by":"publisher","unstructured":"Acharya, T.D., Subedi, A., Yang, I.T., Lee, D.H.: Combining water indices for water and background threshold in Landsat image. In: Proceedings, pp. 143\u2013148 (2018). https:\/\/doi.org\/10.3390\/ecsa-4-04902","key":"24_CR2","DOI":"10.3390\/ecsa-4-04902"},{"doi-asserted-by":"publisher","unstructured":"Alimjan, G., Sun, T., Liang, Y., Jumahun, H., Guan, Y.: A new technique for remote sensing image classification based on combinatorial algorithm of SVM and KNN. Int. J. Patt. Recogn. Artif. Intell. 32(7), 1859012 (23 pages) (2018). https:\/\/doi.org\/10.1142\/S0218001418590127","key":"24_CR3","DOI":"10.1142\/S0218001418590127"},{"doi-asserted-by":"crossref","unstructured":"Amitrano, D., Guida, R., Ruello, G.: Multitemporal SAR RGB processing for Sentinel-1 GRD products: methodology and applications. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 5(12), 1497\u20131507 (2019)","key":"24_CR4","DOI":"10.1109\/JSTARS.2019.2904035"},{"key":"24_CR5","doi-asserted-by":"publisher","DOI":"10.1080\/14498596.2019.1615011","author":"Y Chen","year":"2019","unstructured":"Chen, Y., Chen, Q., Jing, C.: Multi-resolution segmentation parameters optimization and evaluation for VHR remote ensing image based on mean nsqi and discrepancy measure. J. Spat. Sci. (2019). https:\/\/doi.org\/10.1080\/14498596.2019.1615011","journal-title":"J. Spat. Sci."},{"key":"24_CR6","doi-asserted-by":"publisher","first-page":"426","DOI":"10.1037\/h0026256","volume":"70","author":"J Cohen","year":"1968","unstructured":"Cohen, J.: Weighted kappa: nominal scale agreement with provision for scaled disagreement or partial credit. Psychol. Bull. 70, 426\u2013443 (1968). https:\/\/doi.org\/10.1037\/h0026256","journal-title":"Psychol. Bull."},{"doi-asserted-by":"publisher","unstructured":"De Souza Freitas, V.L., Da Fonseca Reis, B.M., Tommaselli, A.M.G.: Automatic shadow detection in aerial and terrestrial images. Boletim de Ci\u00eancias Geod\u00e9sicas 23(4), 578\u2013590 (2017). https:\/\/doi.org\/10.1590\/s1982-21702017000400038","key":"24_CR7","DOI":"10.1590\/s1982-21702017000400038"},{"doi-asserted-by":"publisher","unstructured":"Felegari, S., Sharifi, A., Moravej, K., Golchin, A., Tariq, A.: Investigation of the relationship between ndvi index, soil moisture, and precipitation data using satellite images. Sustain. Agric. Syst. Technol. 314\u2013325 (2022). https:\/\/doi.org\/10.1002\/9781119808565.ch15","key":"24_CR8","DOI":"10.1002\/9781119808565.ch15"},{"key":"24_CR9","first-page":"23","volume":"3","author":"SY Gavrylenko","year":"2017","unstructured":"Gavrylenko, S.Y., Melnyk, M.S., Chelak, V.V.: Development of a heuristic antivirus scanner based on the file\u2019s PE-structure analysis. Inf. Technol. Comput. Eng. 3, 23\u201329 (2017)","journal-title":"Inf. Technol. Comput. Eng."},{"issue":"6","key":"24_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s12517-017-2899-y","volume":"10","author":"H Keshtkar","year":"2017","unstructured":"Keshtkar, H., Voigt, W., Alizadeh, E.: Land-cover classification and analysis of change using machine-learning classifiers and multi-temporal remote sensing imagery. Arab. J. Geosci. 10(6), 1\u201315 (2017). https:\/\/doi.org\/10.1007\/s12517-017-2899-y","journal-title":"Arab. J. Geosci."},{"unstructured":"Hnatushenko, V., Hnatushenko, V., Mozgovyi, D., Vasyliev, V., Kavats, O.: Satellite monitoring of consequences of illegal extraction of amber in Ukraine. Scientific bulletin of National Mining University. - State Higher Educational Institution \u201cNational Mining University\u201d, Dnipropetrovsk 158(2), 99\u2013105 (2017)","key":"24_CR11"},{"doi-asserted-by":"publisher","unstructured":"Hordiiuk, D.M., Hnatushenko, V.V.: Neural network and local Laplace filter methods applied to very high resolution remote sensing imagery in urban damage detection. In: Proceedings of 2017 IEEE International Young Scientists Forum on Applied Physics and Engineering (2017). https:\/\/doi.org\/10.1109\/ysf.2017.8126648","key":"24_CR12","DOI":"10.1109\/ysf.2017.8126648"},{"doi-asserted-by":"publisher","unstructured":"Huang, Z., Wang, F., You, H., Hu, Y.: Imaging parameters-considered slender target detection in optical satellite images. Remote Sens. 14(6) (2022). https:\/\/doi.org\/10.3390\/rs14061385","key":"24_CR13","DOI":"10.3390\/rs14061385"},{"key":"24_CR14","doi-asserted-by":"publisher","first-page":"762","DOI":"10.3390\/a6040762","volume":"6","author":"S Jabari","year":"2013","unstructured":"Jabari, S., Zhang, Y.: Very high resolution satellite image classification using fuzzy rule-based systems. Algorithms 6, 762\u2013781 (2013). https:\/\/doi.org\/10.3390\/a6040762","journal-title":"Algorithms"},{"doi-asserted-by":"publisher","unstructured":"Kampker, A., Sefati, M., Rachman, A.A., Kreisk\u00f6ther, K., Campoy, P.: Towards multi-object detection and tracking in urban scenario under uncertainties. In: Proceedings of 4th International Conference on Vehicle Technology and Intelligent Transport Systems, pp. 156\u2013167 (2018). https:\/\/doi.org\/10.5220\/0006706101560167","key":"24_CR15","DOI":"10.5220\/0006706101560167"},{"doi-asserted-by":"publisher","unstructured":"Kashtan, V.J., Hnatushenko, V.V., Shedlovska, Y.I.: Processing technology of multispectral remote sensing images. In: Proceedings of 2017 IEEE International Young Scientists Forum on Applied Physics and Engineering, pp. 355\u2013358 (2017). https:\/\/doi.org\/10.1109\/ysf.2017.8126647","key":"24_CR16","DOI":"10.1109\/ysf.2017.8126647"},{"doi-asserted-by":"publisher","unstructured":"Kidwai, F.Z., Ahmad, F.: Satellite image enhancement: a review. Int. J. Res. App. Sci. Eng. Technol. 7(6), 573\u2013576 (2019). https:\/\/doi.org\/10.22214\/ijraset.2019.6100","key":"24_CR17","DOI":"10.22214\/ijraset.2019.6100"},{"issue":"3","key":"24_CR18","doi-asserted-by":"publisher","first-page":"250","DOI":"10.1111\/gean.12038","volume":"46","author":"W Li","year":"2014","unstructured":"Li, W., Church, R., Goodchild, M.F.: The p-compact-regions problem. Geogr. Anal. 46(3), 250\u2013273 (2014). https:\/\/doi.org\/10.1111\/gean.12038","journal-title":"Geogr. Anal."},{"doi-asserted-by":"publisher","unstructured":"Lima, R.P.D., Marfurt, K.: Convolutional neural network for remote-sensing scene classification: transfer learning analysis. Remote Sens. 1(12), 86 (20 pages) (2020). https:\/\/doi.org\/10.3390\/rs12010086","key":"24_CR19","DOI":"10.3390\/rs12010086"},{"key":"24_CR20","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1016\/j.isprsjprs.2017.11.014","volume":"138","author":"M Maboudi","year":"2018","unstructured":"Maboudi, M., Amini, J., Malihi, S., Hahn, M.: Integrating fuzzy object based image analysis and ant colony optimization for road extraction from remotely sensed images. ISPRS J. Photogramm. Remote. Sens. 138, 151\u2013163 (2018). https:\/\/doi.org\/10.1016\/j.isprsjprs.2017.11.014","journal-title":"ISPRS J. Photogramm. Remote. Sens."},{"doi-asserted-by":"publisher","unstructured":"Manohar, N., Pranav, M.A., Aksha, S., Mytravarun, T.K.: Classification of satellite images. In: ICTIS 2020. Smart Inn. Syst. Technol. 703\u2013713 (2020). https:\/\/doi.org\/10.1007\/978-981-15-7078-0_70","key":"24_CR21","DOI":"10.1007\/978-981-15-7078-0_70"},{"key":"24_CR22","doi-asserted-by":"publisher","first-page":"3550","DOI":"10.1109\/TGRS.2014.2377785","volume":"53","author":"G Matasci","year":"2015","unstructured":"Matasci, G., Volpi, M., Kanevski, M., Bruzzone, L., Tuia, D.: Semisupervised transfer component analysis for domain adaptation in remote sensing image classification. IEEE Trans. Geosci. Remote Sens. 53, 3550\u20133564 (2015)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"doi-asserted-by":"publisher","unstructured":"Matikainen, L., Karila, K., Hyyppa, J., Litkey, P., Puttonen, E., Ahokas, E.: Object-based analysis of multispectral airborne laser scanner data for land cover classification and map updating. ISPRS J. Photogramm. Remote Sens. (128), 298\u2013313 (2017). https:\/\/doi.org\/10.1016\/j.isprsjprs.2017.04.005","key":"24_CR23","DOI":"10.1016\/j.isprsjprs.2017.04.005"},{"doi-asserted-by":"publisher","unstructured":"Mir, S.A., Padma, T.: Review about various satellite image segmentation. Indonesian J. Electr. Eng. Comput. Sci. 9(3), 633\u2013636 (2018). https:\/\/doi.org\/10.11591\/ijeecs.v9.i3.pp633-636","key":"24_CR24","DOI":"10.11591\/ijeecs.v9.i3.pp633-636"},{"doi-asserted-by":"publisher","unstructured":"Mozgovoy, D., Hnatushenko, V., Vasyliev, V.: Accuracy evaluation of automated object recognition using multispectral aerial images and neural network. In: Proceedings of the SPIE 10806, Tenth International Conference on Digital Image Processing (2018). https:\/\/doi.org\/10.1117\/12.2502905","key":"24_CR25","DOI":"10.1117\/12.2502905"},{"doi-asserted-by":"publisher","unstructured":"Mozgovoy, D.K., Hnatushenko, V.V., Vasyliev, V.V.: Automated recognition of vegetation and water bodies on the territory of megacities in satellite images of visible and IR bands. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. IV-3, 167\u2013172 (2018). https:\/\/doi.org\/10.5194\/isprs-annals-IV-3-167-2018","key":"24_CR26","DOI":"10.5194\/isprs-annals-IV-3-167-2018"},{"issue":"10","key":"24_CR27","doi-asserted-by":"publisher","first-page":"117","DOI":"10.5281\/zenodo.1040209","volume":"5","author":"MT Mustafa","year":"2017","unstructured":"Mustafa, M.T., Hassoon, K.I., Hussain, H.M., Abd, M.H.: Using water indices (NDWI, MNDWI, NDMI, WRI and AWEI) to detect physical and chemical parameters by apply remote sensing and GIS techniques. Int. J. Res. 5(10), 117\u2013128 (2017). https:\/\/doi.org\/10.5281\/zenodo.1040209","journal-title":"Int. J. Res."},{"key":"24_CR28","doi-asserted-by":"publisher","first-page":"163","DOI":"10.2478\/jaes-2020-0024","volume":"10","author":"IM Parvu","year":"2020","unstructured":"Parvu, I.M., Picu, I.A.C., Dragomir, P., Poli, D.: Urban classification from aerial and satellite images. J. Appl. Eng. Sci. 10, 163\u2013172 (2020). https:\/\/doi.org\/10.2478\/jaes-2020-0024","journal-title":"J. Appl. Eng. Sci."},{"doi-asserted-by":"publisher","unstructured":"Rad, A.M., Kreitler, J., Sadegh, M.: Augmented normalized difference water index for improved surface water monitoring. Environ. Modell. Softw. (140), 105030 (2021). https:\/\/doi.org\/10.1016\/j.envsoft.2021.105030","key":"24_CR29","DOI":"10.1016\/j.envsoft.2021.105030"},{"doi-asserted-by":"publisher","unstructured":"Saxena, J., Jain, A., Krishna, P.R.: Deep learning for satellite image reconstruction. In: Proceedings of the International Conference on Paradigms of Communication, Computing and Data Sciences, pp. 569\u2013577 (2022). https:\/\/doi.org\/10.1007\/978-981-16-5747-4_48","key":"24_CR30","DOI":"10.1007\/978-981-16-5747-4_48"},{"issue":"5","key":"24_CR31","doi-asserted-by":"publisher","first-page":"3308","DOI":"10.1007\/s11227-018-2558-4","volume":"76","author":"Q Shao","year":"2018","unstructured":"Shao, Q., Xu, C., Zhou, Yu., Dong, H.: Cast shadow detection based on the YCbCr color space and topological cuts. J. Supercomput. 76(5), 3308\u20133326 (2018). https:\/\/doi.org\/10.1007\/s11227-018-2558-4","journal-title":"J. Supercomput."},{"doi-asserted-by":"publisher","unstructured":"Shedlovska, Y.I., Hnatushenko, V.V.: A very high resolution satellite imagery classification algorithm. In: Proceedings of the 2018 IEEE 38th International Conference on Electronics and Nanotechnology, pp. 654\u2013657 (2018). https:\/\/doi.org\/10.1109\/elnano.2018.8477447","key":"24_CR32","DOI":"10.1109\/elnano.2018.8477447"},{"doi-asserted-by":"publisher","unstructured":"Shedlovska, Y.I., Hnatushenko, V.V.: A shadow removal algorithm for remote sensing imagery. In: Proceedings of IEEE 39th International Scientific and Technical Conference \u201cElectronics and Nanotechnology\", pp. 817\u2013821 (2019). https:\/\/doi.org\/10.1109\/elnano.2019.8783642","key":"24_CR33","DOI":"10.1109\/elnano.2019.8783642"},{"doi-asserted-by":"publisher","unstructured":"Shelestov, A., et al.: Cloud approach to automated crop classification using Sentinel-1 imagery. IEEE Trans. Big Data 6(3), 572\u2013582 (2019). https:\/\/doi.org\/10.1109\/tbdata.2019.2940237","key":"24_CR34","DOI":"10.1109\/tbdata.2019.2940237"},{"issue":"10","key":"24_CR35","doi-asserted-by":"publisher","first-page":"37","DOI":"10.5120\/5731-7805","volume":"42","author":"KK Singh","year":"2012","unstructured":"Singh, K.K., Pal, K., Nigam, M.J.: Shadow detection and removal from remote sensing images using NDI and morphological operators. Int. J. Comput. Appl. 42(10), 37\u201340 (2012). https:\/\/doi.org\/10.5120\/5731-7805","journal-title":"Int. J. Comput. Appl."},{"issue":"3","key":"24_CR36","first-page":"47","volume":"17","author":"K Tamta","year":"2015","unstructured":"Tamta, K., Bhadauria, H.S., Bhadauria, A.S.: Object-oriented approach of information extraction from high resolution satellite imagery. IOSR J. Comput. Eng. 17(3), 47\u201352 (2015)","journal-title":"IOSR J. Comput. Eng."},{"doi-asserted-by":"publisher","unstructured":"Xiao, P., Zhang, X., Zhang, H., Hu, R., Feng, X.: Multiscale optimized segmentation of urban green cover in high resolution remote sensing image. Remote Sens. (10), 1813 (20 pages) (2018). https:\/\/doi.org\/10.3390\/rs10111813","key":"24_CR37","DOI":"10.3390\/rs10111813"},{"key":"24_CR38","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1016\/j.rse.2015.12.022","volume":"174","author":"L Xiaoxiao","year":"2016","unstructured":"Xiaoxiao, L., Wenwen, L., Middel, A., Harlan, S.L., Brazel, A.J., Turner, B.L.: Remote sensing of the surface urban heat island and land architecture in Phoenix, Arizona: combined effects of land composition and configuration and cadastral-demographic-economic factors. Remote Sens. Environ. 174, 233\u2013243 (2016). https:\/\/doi.org\/10.1016\/j.rse.2015.12.022","journal-title":"Remote Sens. Environ."},{"doi-asserted-by":"publisher","unstructured":"Xue, J., Su, B.: Significant remote sensing vegetation indices: a review of developments and applications. J. Sens. 1353691 (17 pages) (2017). https:\/\/doi.org\/10.1155\/2017\/1353691","key":"24_CR39","DOI":"10.1155\/2017\/1353691"},{"issue":"8","key":"24_CR40","doi-asserted-by":"publisher","first-page":"3641","DOI":"10.1109\/JSTARS.2017.2693993","volume":"10","author":"Y Zhou","year":"2017","unstructured":"Zhou, Y., Li, J., Feng, L., Zhang, X., Hu, X.: Adaptive scale selection for multiscale segmentation of satellite images. IEEE J. Sel. Top. Appl. Earth Observations Remote Sens. 10(8), 3641\u20133651 (2017). https:\/\/doi.org\/10.1109\/JSTARS.2017.2693993","journal-title":"IEEE J. Sel. Top. Appl. Earth Observations Remote Sens."}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-16203-9_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,18]],"date-time":"2023-10-18T15:04:51Z","timestamp":1697641491000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-16203-9_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,14]]},"ISBN":["9783031162022","9783031162039"],"references-count":40,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-16203-9_24","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"type":"print","value":"2367-4512"},{"type":"electronic","value":"2367-4520"}],"subject":[],"published":{"date-parts":[[2022,9,14]]},"assertion":[{"value":"14 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISDMCI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Scientific Conference \u201cIntellectual Systems of Decision Making and Problem of Computational Intelligence\u201d","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hybrid, Zalizniy Port","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ukraine","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 May 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 May 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isdmci2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.isdmci.ks.ua\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}