Avudaiammal Ramalingam, Vandita Srivastava, Sam V George, Swarnalatha Alagala, Martin Leo Manickam
{"title":"利用低复杂度 UNet 变体模型从航空图像中提取建筑屋顶","authors":"Avudaiammal Ramalingam, Vandita Srivastava, Sam V George, Swarnalatha Alagala, Martin Leo Manickam","doi":"10.1080/14498596.2024.2302166","DOIUrl":null,"url":null,"abstract":"Retrieved rooftops from satellite images have enormous applications. The diversity and complexity of the building structures is challenging. This work proposes to extract building rooftops using tw...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Building rooftop extraction from aerial imagery using low complexity UNet variant models\",\"authors\":\"Avudaiammal Ramalingam, Vandita Srivastava, Sam V George, Swarnalatha Alagala, Martin Leo Manickam\",\"doi\":\"10.1080/14498596.2024.2302166\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Retrieved rooftops from satellite images have enormous applications. The diversity and complexity of the building structures is challenging. This work proposes to extract building rooftops using tw...\",\"PeriodicalId\":50045,\"journal\":{\"name\":\"Journal of Spatial Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2024-02-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Spatial Science\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1080/14498596.2024.2302166\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GEOGRAPHY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Spatial Science","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1080/14498596.2024.2302166","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOGRAPHY, PHYSICAL","Score":null,"Total":0}
Building rooftop extraction from aerial imagery using low complexity UNet variant models
Retrieved rooftops from satellite images have enormous applications. The diversity and complexity of the building structures is challenging. This work proposes to extract building rooftops using tw...
期刊介绍：
The Journal of Spatial Science publishes papers broadly across the spatial sciences including such areas as cartography, geodesy, geographic information science, hydrography, digital image analysis and photogrammetry, remote sensing, surveying and related areas. Two types of papers are published by he journal: Research Papers and Professional Papers.
Research Papers (including reviews) are peer-reviewed and must meet a minimum standard of making a contribution to the knowledge base of an area of the spatial sciences. This can be achieved through the empirical or theoretical contribution to knowledge that produces significant new outcomes.
It is anticipated that Professional Papers will be written by industry practitioners. Professional Papers describe innovative aspects of professional practise and applications that advance the development of the spatial industry.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
