{"title":"Scyllarus™:从研究到商业软件","authors":"N. Habili, Jeremy Oorloff","doi":"10.1145/2811681.2817752","DOIUrl":null,"url":null,"abstract":"In this paper, we describe the development of Scyllarus, a set of computer vision tools used to process, analyze and visualize hyperspectral images. Scyllarus is comprised of a MATLAB® Toolbox, a C++ API and Scyven, an application with a graphical user interface. The merits of the various tools that were used to develop the software are discussed as well as the challenges that were experienced in developing commercial-grade software from research-grade code. A list of our current and future development commitments is also provided.","PeriodicalId":292017,"journal":{"name":"Proceedings of the ASWEC 2015 24th Australasian Software Engineering Conference","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Scyllarus™: From Research to Commercial Software\",\"authors\":\"N. Habili, Jeremy Oorloff\",\"doi\":\"10.1145/2811681.2817752\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we describe the development of Scyllarus, a set of computer vision tools used to process, analyze and visualize hyperspectral images. Scyllarus is comprised of a MATLAB® Toolbox, a C++ API and Scyven, an application with a graphical user interface. The merits of the various tools that were used to develop the software are discussed as well as the challenges that were experienced in developing commercial-grade software from research-grade code. A list of our current and future development commitments is also provided.\",\"PeriodicalId\":292017,\"journal\":{\"name\":\"Proceedings of the ASWEC 2015 24th Australasian Software Engineering Conference\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ASWEC 2015 24th Australasian Software Engineering Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2811681.2817752\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ASWEC 2015 24th Australasian Software Engineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2811681.2817752","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we describe the development of Scyllarus, a set of computer vision tools used to process, analyze and visualize hyperspectral images. Scyllarus is comprised of a MATLAB® Toolbox, a C++ API and Scyven, an application with a graphical user interface. The merits of the various tools that were used to develop the software are discussed as well as the challenges that were experienced in developing commercial-grade software from research-grade code. A list of our current and future development commitments is also provided.