{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T18:40:08Z","timestamp":1754073608351,"version":"3.41.2"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2018,6,1]],"date-time":"2018-06-01T00:00:00Z","timestamp":1527811200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2018,6,1]],"date-time":"2018-06-01T00:00:00Z","timestamp":1527811200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,6]]},"DOI":"10.1109\/geoinformatics.2018.8557085","type":"proceedings-article","created":{"date-parts":[[2018,12,12]],"date-time":"2018-12-12T19:52:20Z","timestamp":1544644340000},"page":"1-5","source":"Crossref","is-referenced-by-count":2,"title":["A Highly Efficient Method for Training Sample Selection in Remote Sensing Classification"],"prefix":"10.1109","author":[{"given":"Chao","family":"Yang","sequence":"first","affiliation":[{"name":"Mapping and Geolnformation &#x0026;Shenzhen, Key Laboratory of Spatial Smart Sensing and services Shenzhen University, Key Laboratory for Geo-Environmental Monitoring of coastal Zone of the National Administration of Surveying, Shenzhen, 518060, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingquan","family":"Li","sequence":"additional","affiliation":[{"name":"Mapping and Geolnformation &#x0026;Shenzhen, Key Laboratory of Spatial Smart Sensing and services Shenzhen University, Key Laboratory for Geo-Environmental Monitoring of coastal Zone of the National Administration of Surveying, Shenzhen, 518060, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guofeng","family":"Wu","sequence":"additional","affiliation":[{"name":"Mapping and Geolnformation &#x0026;Shenzhen, Key Laboratory of Spatial Smart Sensing and services Shenzhen University, Key Laboratory for Geo-Environmental Monitoring of coastal Zone of the National Administration of Surveying, Shenzhen, 518060, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junyi","family":"Chen","sequence":"additional","affiliation":[{"name":"Ministry of Education, Nanjing Normal University, Key Laboratory of Virtual Geographic Environment, Nanjing, 210023, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ETCS.2010.621"},{"key":"ref11","first-page":"12","article-title":"The southwest drought on different forest vegetation watershed-taking Songhuaba reservoir and Yun long reservoir as an example","volume":"10","author":"liu","year":"2012","journal-title":"Forestry Economics"},{"key":"ref12","first-page":"23","author":"jensen","year":"2004","journal-title":"Introductory digital image processing a remote sensing perspective (3rd Edition)"},{"key":"ref13","first-page":"147","article-title":"Research on the extraction of surface feature abundance based on the least square mixed pixel decomposition","volume":"229","author":"yang","year":"2017","journal-title":"Science of Surveying and Mapping"},{"key":"ref14","first-page":"1376","article-title":"Comparison of two methods of fusing remote sensing images with fidelity of spectra information","volume":"9","author":"li","year":"2004","journal-title":"Journal of Image and Graphics"},{"key":"ref15","first-page":"47","author":"richards","year":"2006","journal-title":"Remote Sensing Digital Image Analysis An Introduction 3rded"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.apgeog.2010.01.009"},{"key":"ref17","first-page":"826","article-title":"The effects of training samples on the wheat planting areameasure accuracy in TM scale (I): The accuracy response of different classifiers to training samples","volume":"6","author":"zhu","year":"2007","journal-title":"Journal of Remote Sensing"},{"key":"ref4","first-page":"405","article-title":"Research and Application of the Decision Tree Classification Using MODIS Data","volume":"9","author":"liu","year":"2005","journal-title":"Journal of Remote Sensing"},{"key":"ref3","first-page":"1","author":"cheng","year":"2007","journal-title":"Introductory Digital Image Processing"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/rs9121222"},{"key":"ref5","first-page":"1106","article-title":"The effect of the size of training sample on classification accuracy in Object-oriented image analysis","volume":"15","author":"bo","year":"2010","journal-title":"Journal of Image and Graphics"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1080\/10106049.2014.997310"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"16024","DOI":"10.3390\/rs71215819","article-title":"Automatic labelling and selection of training samples for high-resolution remote sensing image classification over urban areas","volume":"7","author":"huang","year":"2015","journal-title":"Remote Sensing"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"8489","DOI":"10.3390\/rs70708489","article-title":"On the importance of training data sample selection in random forest image classification: A case study in Peatland ecosystem mapping","volume":"7","author":"millard","year":"2015","journal-title":"Remote Sensing"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2013.810822"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"230","DOI":"10.3390\/rs9030236","article-title":"Optimized sample selection in SVM classification by combining with DMSP-OLS, Landsat NDVI and GiobeLand30 products for extracting urban Built-Up areas","volume":"9","author":"ma","year":"2017","journal-title":"Remote Sensing"}],"event":{"name":"2018 26th International Conference on Geoinformatics","start":{"date-parts":[[2018,6,28]]},"location":"Kunming, China","end":{"date-parts":[[2018,6,30]]}},"container-title":["2018 26th International Conference on Geoinformatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8540805\/8557038\/08557085.pdf?arnumber=8557085","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T18:10:59Z","timestamp":1754071859000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8557085\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/geoinformatics.2018.8557085","relation":{},"subject":[],"published":{"date-parts":[[2018,6]]}}}