{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T07:31:03Z","timestamp":1749195063829},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2021,6,24]],"date-time":"2021-06-24T00:00:00Z","timestamp":1624492800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,6,24]],"date-time":"2021-06-24T00:00:00Z","timestamp":1624492800000},"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":["Earth Sci Inform"],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1007\/s12145-021-00629-y","type":"journal-article","created":{"date-parts":[[2021,6,24]],"date-time":"2021-06-24T07:03:07Z","timestamp":1624518187000},"page":"1847-1859","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["An efficient content-based satellite image retrieval system for big data utilizing threshold based checking method"],"prefix":"10.1007","volume":"14","author":[{"given":"Sunitha","family":"T","sequence":"first","affiliation":[]},{"given":"Sivarani","family":"T.S","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,6,24]]},"reference":[{"key":"629_CR1","doi-asserted-by":"crossref","unstructured":"Afifi AJ, Ashour WM (2012) \"Image retrieval based on content using color feature.\"\u00a0ISRN Computer Graphics, Article ID 248285, p. 11","DOI":"10.5402\/2012\/248285"},{"key":"629_CR2","doi-asserted-by":"crossref","unstructured":"Al-Khafaji SL, Zhou J, Zia A, Liew AW (2017) \"Spectral-spatial scale invariant feature transform for hyperspectral images.\"\u00a0IEEE Trans Image Process\u00a027(2):837\u2013850","DOI":"10.1109\/TIP.2017.2749145"},{"key":"629_CR3","doi-asserted-by":"publisher","first-page":"1053","DOI":"10.1016\/j.ijleo.2017.11.179","volume":"157","author":"J Annrose","year":"2018","unstructured":"Annrose J (2018) An efficient image retrieval system with structured query based feature selection and filtering initial level relevant images using range query. Optik 157:1053\u20131064","journal-title":"Optik"},{"key":"629_CR4","doi-asserted-by":"crossref","unstructured":"Ashraf R, Ahmed M, Jabbar S, Khalid S, Ahmad A, Din S, Jeon G (2018) \"Content based image retrieval by using color descriptor and discrete wavelet transform.\"\u00a0J Med Syst 42(3):1\u201312","DOI":"10.1007\/s10916-017-0880-7"},{"key":"629_CR5","doi-asserted-by":"crossref","unstructured":"Chaudhuri U, Banerjee B, Bhattacharya A (2019) \"Siamese graph convolutional network for content based remote sensing image retrieval.\"\u00a0Comput Vis Image Underst\u00a0184:22\u201330","DOI":"10.1016\/j.cviu.2019.04.004"},{"key":"629_CR6","doi-asserted-by":"crossref","unstructured":"Fadaei S, Amirfattahi R, Ahmadzadeh MR (2016) \"New content-based image retrieval system based on optimised integration of DCD, wavelet and curvelet features.\"\u00a0IET Image Process\u00a011(2):89\u201398","DOI":"10.1049\/iet-ipr.2016.0542"},{"key":"629_CR7","doi-asserted-by":"crossref","unstructured":"Feng Y, Deb S, Wang GG, Alavi AH (2020) \"Monarch butterfly optimization: a comprehensive review.\"\u00a0Expert Systems with Applications 114418","DOI":"10.1016\/j.eswa.2020.114418"},{"key":"629_CR8","doi-asserted-by":"crossref","unstructured":"Gaber H, Marey M, Amin SE, Tolba MF (2016) \u201cContent based image retrieval with hadoop\u201d, In\u00a0International Conference on Advanced Intelligent Systems and Informatics.\u00a0Springer, Cham, pp 257\u2013265","DOI":"10.1007\/978-3-319-48308-5_25"},{"key":"629_CR9","doi-asserted-by":"crossref","unstructured":"Hoang ND (2018) \"Image processing-based recognition of wall defects using machine learning approaches and steerable filters.\"\u00a0Comput Intell Neurosci,\u00a0Article ID 7913952, p. 18","DOI":"10.1155\/2018\/7913952"},{"key":"629_CR10","doi-asserted-by":"crossref","unstructured":"Karim AA, Sameer RA (2018) \"Image Classification Using Bag of Visual Words (BoVW).\"\u00a0Al-Nahrain J Sci\u00a021(4):76\u201382","DOI":"10.22401\/ANJS.21.4.11"},{"key":"629_CR11","doi-asserted-by":"crossref","unstructured":"Kavitha PK, Vidhya Saraswathi P (2020) \"Content based satellite image retrieval system using fuzzy clustering.\"\u00a0J Ambient Intell Humaniz Comput pp 1\u201312","DOI":"10.1007\/s12652-020-02064-1"},{"key":"629_CR12","doi-asserted-by":"crossref","unstructured":"Latif A, Rasheed A, Sajid U, Ahmed J, Ali N, Ratyal NI, Zafar B, Dar SH, Sajid M, Khalil T (2019) \"Content-based image retrieval and feature extraction: a comprehensive review.\"\u00a0Math Probl Eng,\u00a0Article ID 9658350, p. 21","DOI":"10.1155\/2019\/9658350"},{"key":"629_CR13","doi-asserted-by":"crossref","unstructured":"Li P, Ren P (2017) \u201cPartial randomness hashing for large-scale remote sensing image retrieval\u201d.\u00a0IEEE Geosci Remote Sens Lett\u00a014(3):464\u2013468","DOI":"10.1109\/LGRS.2017.2651056"},{"key":"629_CR14","doi-asserted-by":"crossref","unstructured":"Liu YL, Cai Z, Zhang JT (2018) \"An improved image classification based on K-means clustering and BoW model.\"\u00a0Int J Grid Util Comput\u00a09(1):37\u201342","DOI":"10.1504\/IJGUC.2018.090225"},{"key":"629_CR15","doi-asserted-by":"crossref","unstructured":"Mohamed O, Mohammed O, Brahim A (2017) \"Content-based image retrieval using convolutional neural networks.\" In\u00a0First International Conference on Real Time Intelligent Systems.\u00a0Springer, Cham\u00a0pp 463\u2013476","DOI":"10.1007\/978-3-319-91337-7_41"},{"key":"629_CR16","doi-asserted-by":"crossref","unstructured":"Rao TY, Reddy PC (2018) \"Content and context based image retrieval classification based on firefly-neural network.\"\u00a0Multimed Tools Appl\u00a077(24):32041\u201332062","DOI":"10.1007\/s11042-018-6224-x"},{"key":"629_CR17","doi-asserted-by":"crossref","unstructured":"Sakr NA, ELdesouky AI, Arafat H (2016) \"An efficient fast-response content-based image retrieval framework for big data.\"\u00a0Comput Electr Eng\u00a054:522\u201353","DOI":"10.1016\/j.compeleceng.2016.04.015"},{"key":"629_CR18","doi-asserted-by":"crossref","unstructured":"Sarkar A, Murugan TS (2019) \"Cluster head selection for energy efficient and delay-less routing in wireless sensor network.\"\u00a0Wirel Netw\u00a025(1):303\u2013320","DOI":"10.1007\/s11276-017-1558-2"},{"key":"629_CR19","doi-asserted-by":"crossref","unstructured":"Sebai H, Kourgli A (2014) \"An adaptive CBIR system for remote sensed data.\" In\u00a02014 12th International Workshop on Content-Based Multimedia Indexing (CBMI). IEEE,\u00a0pp 1\u20136","DOI":"10.1109\/CBMI.2014.6849834"},{"key":"629_CR20","doi-asserted-by":"crossref","unstructured":"Sebai H, Kourgli A (2015) \"Improving high resolution satellite images retrieval using color component features.\" In\u00a0International Conference on Image Analysis and Processing. Springer, Cham, pp 264\u2013275","DOI":"10.1007\/978-3-319-23234-8_25"},{"key":"629_CR21","doi-asserted-by":"crossref","unstructured":"Shakarami A, Tarrah H (2020) \"An efficient image descriptor for image classification and CBIR.\"\u00a0Optik 214:164833","DOI":"10.1016\/j.ijleo.2020.164833"},{"key":"629_CR22","doi-asserted-by":"crossref","unstructured":"Shao Z, Zhou W, Zhang L, Hou J (2014) \"Improved color texture descriptors for remote sensing image retrieval.\"\u00a0J Appl Remote Sens\u00a08(1):083584","DOI":"10.1117\/1.JRS.8.083584"},{"key":"629_CR23","doi-asserted-by":"crossref","unstructured":"Shrivastava N, Tyagi V (2015) \"A review of ROI image retrieval techniques.\" In\u00a0Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Springer, Cham,\u00a0pp 509\u2013520","DOI":"10.1007\/978-3-319-12012-6_56"},{"key":"629_CR24","doi-asserted-by":"crossref","unstructured":"Singh S, Batra S (2020) \"An efficient bi-layer content based image retrieval system.\"\u00a0Multimed Tools Appl\u00a0pp 1\u201329","DOI":"10.1007\/s11042-019-08401-7"},{"key":"629_CR25","doi-asserted-by":"crossref","unstructured":"Sukhia KN, Riaz MM, Ghafoor A, Ali SS (2020) \"Content-based remote sensing image retrieval using multi-scale local ternary pattern.\"\u00a0Digital Signal Process 104:102765","DOI":"10.1016\/j.dsp.2020.102765"},{"key":"629_CR26","doi-asserted-by":"crossref","unstructured":"Verma D, Agarwal H, Aggarwal AK (2019) \"Palmprint matching based on normalized correlation coefficient and mean structural similarity index measure.\" In\u00a0Harmony Search and Nature Inspired Optimization Algorithms.\u00a0Springer, Singapore,\u00a0193\u2013202","DOI":"10.1007\/978-981-13-0761-4_20"},{"key":"629_CR27","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.patrec.2018.11.001","volume":"127","author":"R Wang","year":"2019","unstructured":"Wang R, Shi Y, Cao W (2019) GA-SURF: A new speeded-up robust feature extraction algorithm for multispectral images based on geometric algebra. Pattern Recogn Lett 127:11\u201317","journal-title":"Pattern Recogn Lett"},{"key":"629_CR28","doi-asserted-by":"publisher","first-page":"1234","DOI":"10.1109\/JSTARS.2020.2980870","volume":"13","author":"W Xiong","year":"2020","unstructured":"Xiong W, Xiong Z, Cui Y, Lv Y (2020) \u201cA Discriminative Distillation Network for Cross-Source Remote Sensing Image Retrieval.\u201d IEEE J Sel Top Appl Earth Obs Remote Sens 13:1234\u20131247","journal-title":"IEEE J Sel Top Appl Earth Obs Remote Sens"},{"key":"629_CR29","doi-asserted-by":"crossref","unstructured":"Zou Q, Ni L, Zhang T, Wang Q (2015) \u201cDeep Learning Based Feature Selection for Remote Sensing Scene Classification\u201d.\u00a0IEEE Geosci Remote Sens Lett 12(11):2321\u20132325","DOI":"10.1109\/LGRS.2015.2475299"}],"container-title":["Earth Science Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12145-021-00629-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12145-021-00629-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12145-021-00629-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,11,6]],"date-time":"2021-11-06T05:17:59Z","timestamp":1636175879000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12145-021-00629-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,24]]},"references-count":29,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,12]]}},"alternative-id":["629"],"URL":"https:\/\/doi.org\/10.1007\/s12145-021-00629-y","relation":{},"ISSN":["1865-0473","1865-0481"],"issn-type":[{"value":"1865-0473","type":"print"},{"value":"1865-0481","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6,24]]},"assertion":[{"value":"9 October 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 May 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 June 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}