{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T03:42:23Z","timestamp":1770781343124,"version":"3.50.0"},"reference-count":28,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,10]]},"DOI":"10.1109\/aipr.2017.8457960","type":"proceedings-article","created":{"date-parts":[[2018,9,21]],"date-time":"2018-09-21T20:57:51Z","timestamp":1537563471000},"page":"1-8","source":"Crossref","is-referenced-by-count":3,"title":["The poor generalization of deep convolutional networks to aerial imagery from new geographic locations: an empirical study with solar array detection"],"prefix":"10.1109","author":[{"given":"Rui","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joseph","family":"Camilo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leslie M.","family":"Collins","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyle","family":"Bradbury","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jordan M.","family":"Malof","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"crossref","first-page":"740","DOI":"10.1109\/LGRS.2016.2542358","article-title":"Convolutional Neural Network Based Automatic Object Detection on Aerial Images","volume":"13","author":"sevo","year":"2016","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2016.2540798"},{"key":"ref12","first-page":"2703","author":"yuan","year":"2016","journal-title":"Large-Scale Solar Panel Mapping from Aerial Images Using Deep Convolutional Networks"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2016.08.191"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICRERA.2015.7418643"},{"key":"ref15","first-page":"1","volume":"8828","author":"badrinarayanan","year":"2015","journal-title":"Segnet A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"},{"key":"ref16","article-title":"Application of a semantic segmentation convolutional neural network for accurate automatic detection and mapping of solar photovoltaic arrays in aerial imagery","author":"camilo","year":"2017","journal-title":"IEEE Applied Imagery Pattern Recognition Workshop"},{"key":"ref17","first-page":"1","article-title":"Very Deep Convolutional Networks for Large-Scale Image Recoginition","author":"simonyan","year":"2015","journal-title":"Intl Conf Leam Represent"},{"key":"ref18","article-title":"Distributed Solar Photovoltaic Array Location and Extent Data Set for Remote Sensing Object Identification","author":"bradbury","year":"0","journal-title":"Figshare"},{"key":"ref19","author":"hastie","year":"2009","journal-title":"The Elements of Statistical Leaming Data Mining Inference and Prediction"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35289-8_26"},{"key":"ref4","first-page":"1591","author":"engineering","year":"2016","journal-title":"Fully convolutional networks for building and road extraction preliminary results"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref3","first-page":"210","article-title":"Learning to detect roads in high-resolution aerial images","volume":"6316","author":"mnih","year":"2010","journal-title":"Lect Notes Comput Sci (including Subser Lect Notes Artif Intell Lect Notes Bioinformatics)"},{"key":"ref6","author":"yuan","year":"2016","journal-title":"Automatic Building Extraction in Aerial Scenes Using Convolutional Networks"},{"key":"ref5","author":"zhang","year":"2017","journal-title":"Building Detection from Satellite Images on a Global Scale"},{"key":"ref8","first-page":"109","author":"mnih","year":"2013","journal-title":"Machine Learning for Aerial Image Labeling"},{"key":"ref7","article-title":"A Deep Convolutional Neural Network, with pre-training, for solar photovoltaic array detection in aerial imagery","author":"malof","year":"2017","journal-title":"International conference on geoscience and remote sensing (under review)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2016.2582921"},{"key":"ref9","first-page":"3226","author":"maggiori","year":"2017","journal-title":"Can Semantic Labeling Methods Generalize to Any City ? The Inria Aerial Image Labeling Benchmark To cite this version-c"},{"key":"ref1","first-page":"916","article-title":"Deep multi-modal vehicle detection in aerial ISR imagery","author":"sakla","year":"2017","journal-title":"Proc –2017 IEEE Winter Conf Appl Comput Vision WACV 2017"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2013.2241444"},{"key":"ref21","first-page":"1","article-title":"Automatic Building Detection From High-Resolution Satellite Images Based on Morphology and Internal Gray Variance","author":"chaudhuri","year":"2015","journal-title":"SeI Top Appl Earth Obs Remote Sensing IEEEJ"},{"key":"ref24","first-page":"208","article-title":"Information Retrieval","author":"van rijsbergen","year":"1979","journal-title":"Inf Retr Boston"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2452962"},{"key":"ref26","first-page":"2579","article-title":"Visualizing high-dimensional data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref25","first-page":"435","article-title":"Best Practices for Fine-Tuning Visual Classifiers to New Domains","volume":"9915","author":"b","year":"2016","journal-title":"European Conference on Computer Vision"}],"event":{"name":"2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","location":"Washington, DC, USA","start":{"date-parts":[[2017,10,10]]},"end":{"date-parts":[[2017,10,12]]}},"container-title":["2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8424301\/8457934\/08457960.pdf?arnumber=8457960","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T00:23:43Z","timestamp":1598228623000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8457960\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/aipr.2017.8457960","relation":{},"subject":[],"published":{"date-parts":[[2017,10]]}}}