{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,3,31]],"date-time":"2023-03-31T13:49:37Z","timestamp":1680270577730},"reference-count":14,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2014,11,1]],"date-time":"2014-11-01T00:00:00Z","timestamp":1414800000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Geosci. Remote Sensing Lett."],"published-print":{"date-parts":[[2014,11]]},"DOI":"10.1109\/lgrs.2014.2313626","type":"journal-article","created":{"date-parts":[[2014,4,22]],"date-time":"2014-04-22T18:03:55Z","timestamp":1398189835000},"page":"1901-1905","source":"Crossref","is-referenced-by-count":9,"title":["Efficient SOM-Based ATR Method for SAR Imagery With Azimuth Angular Variations"],"prefix":"10.1109","volume":"11","author":[{"given":"Shouhei","family":"Ohno","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shouhei","family":"Kidera","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tetsuo","family":"Kirimoto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSSC.1968.300136"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","article-title":"A threshold selection method from gray-level histograms","volume":"ssc 9","author":"otsu","year":"1979","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"ref12","first-page":"20","article-title":"SAR speckle simulation","volume":"31","author":"bolter","year":"0","journal-title":"Proc Int Archives Photogramm Remote Sens"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref4","first-page":"1013","article-title":"A neural network approach to flood mapping using satellite imagery","volume":"29","author":"skakun","year":"2010","journal-title":"Inform Comput"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2011.6034651"},{"key":"ref6","first-page":"305","article-title":"Kohonen's self organizing feature maps for exploratory data analysis","author":"ultsch","year":"0","journal-title":"Proc Int Conf Neural Netw"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1007\/3-540-48885-5_11","article-title":"Evolution of ship detectors for satellite SAR imagery","author":"howard","year":"1999","journal-title":"Genetic Programming - 2"},{"key":"ref8","first-page":"239","article-title":"The characteristics of the torus self organizing map","author":"ito","year":"0","journal-title":"Proc 6th Int Conf Soft Comput"},{"key":"ref7","first-page":"2259","article-title":"Batch-learning self-organization map with false-neighbour degree between neurons","author":"matsushita","year":"0","journal-title":"Proc IEEE IJCNN"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/M2RSM.2011.5697404"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/29.1638"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1587\/transcom.E95.B.3563"}],"container-title":["IEEE Geoscience and Remote Sensing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8859\/6819880\/06803868.pdf?arnumber=6803868","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:56:05Z","timestamp":1642006565000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/6803868\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,11]]},"references-count":14,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/lgrs.2014.2313626","relation":{},"ISSN":["1545-598X","1558-0571"],"issn-type":[{"value":"1545-598X","type":"print"},{"value":"1558-0571","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,11]]}}}