{"title":"机载激光扫描多回波信号强度校正提高土地覆盖解译效果","authors":"Magdalena Pilarska-Mazurek","doi":"10.1007/s12518-025-00638-2","DOIUrl":null,"url":null,"abstract":"<div><p>Airborne laser scanning technology is widely used in photogrammetry and remote sensing, enabling three-dimensional information about objects located on the Earth’s surface to be obtained. In addition, the intensity of the reflected signal is received, which records the power with which the laser beam is reflected from objects. Moreover, unique to laser scanning is its ability to penetrate vegetation. As a result, more than one return may be acquired for a laser beam regarding vegetation. With each return, there is a loss of laser beam power, which can be problematic when classifying and interpreting land cover under trees, especially in urban areas. This article presents a methodology for correcting the intensity values of multiple returns on the ground to improve the interpretation of land cover under trees. For this purpose, methods for calculating transmittance and methods based on the Beer-Lambert law were examined. The effectiveness of the developed methodology was evaluated through statistical analyses and intensity images before and after correction were generated. The results of the studies showed that it is possible to effectively correct the intensity of signal multiple returns, thus improving the interpretation of land cover under trees. The accuracy of intensity image classification before and after intensity correction improved from 0.57 to 0.79 in the leaf-on season and from 0.44 to 0.62 in the leaf-off season.</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":"17 3","pages":"547 - 565"},"PeriodicalIF":2.3000,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12518-025-00638-2.pdf","citationCount":"0","resultStr":"{\"title\":\"Intensity correction of multi-return signal from airborne laser scanning to improve land cover interpretation\",\"authors\":\"Magdalena Pilarska-Mazurek\",\"doi\":\"10.1007/s12518-025-00638-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Airborne laser scanning technology is widely used in photogrammetry and remote sensing, enabling three-dimensional information about objects located on the Earth’s surface to be obtained. In addition, the intensity of the reflected signal is received, which records the power with which the laser beam is reflected from objects. Moreover, unique to laser scanning is its ability to penetrate vegetation. As a result, more than one return may be acquired for a laser beam regarding vegetation. With each return, there is a loss of laser beam power, which can be problematic when classifying and interpreting land cover under trees, especially in urban areas. This article presents a methodology for correcting the intensity values of multiple returns on the ground to improve the interpretation of land cover under trees. For this purpose, methods for calculating transmittance and methods based on the Beer-Lambert law were examined. The effectiveness of the developed methodology was evaluated through statistical analyses and intensity images before and after correction were generated. The results of the studies showed that it is possible to effectively correct the intensity of signal multiple returns, thus improving the interpretation of land cover under trees. The accuracy of intensity image classification before and after intensity correction improved from 0.57 to 0.79 in the leaf-on season and from 0.44 to 0.62 in the leaf-off season.</p></div>\",\"PeriodicalId\":46286,\"journal\":{\"name\":\"Applied Geomatics\",\"volume\":\"17 3\",\"pages\":\"547 - 565\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://link.springer.com/content/pdf/10.1007/s12518-025-00638-2.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Geomatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s12518-025-00638-2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"REMOTE SENSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Geomatics","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s12518-025-00638-2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"REMOTE SENSING","Score":null,"Total":0}
Intensity correction of multi-return signal from airborne laser scanning to improve land cover interpretation
Airborne laser scanning technology is widely used in photogrammetry and remote sensing, enabling three-dimensional information about objects located on the Earth’s surface to be obtained. In addition, the intensity of the reflected signal is received, which records the power with which the laser beam is reflected from objects. Moreover, unique to laser scanning is its ability to penetrate vegetation. As a result, more than one return may be acquired for a laser beam regarding vegetation. With each return, there is a loss of laser beam power, which can be problematic when classifying and interpreting land cover under trees, especially in urban areas. This article presents a methodology for correcting the intensity values of multiple returns on the ground to improve the interpretation of land cover under trees. For this purpose, methods for calculating transmittance and methods based on the Beer-Lambert law were examined. The effectiveness of the developed methodology was evaluated through statistical analyses and intensity images before and after correction were generated. The results of the studies showed that it is possible to effectively correct the intensity of signal multiple returns, thus improving the interpretation of land cover under trees. The accuracy of intensity image classification before and after intensity correction improved from 0.57 to 0.79 in the leaf-on season and from 0.44 to 0.62 in the leaf-off season.
期刊介绍:
Applied Geomatics (AGMJ) is the official journal of SIFET the Italian Society of Photogrammetry and Topography and covers all aspects and information on scientific and technical advances in the geomatics sciences. The Journal publishes innovative contributions in geomatics applications ranging from the integration of instruments, methodologies and technologies and their use in the environmental sciences, engineering and other natural sciences.
The areas of interest include many research fields such as: remote sensing, close range and videometric photogrammetry, image analysis, digital mapping, land and geographic information systems, geographic information science, integrated geodesy, spatial data analysis, heritage recording; network adjustment and numerical processes. Furthermore, Applied Geomatics is open to articles from all areas of deformation measurements and analysis, structural engineering, mechanical engineering and all trends in earth and planetary survey science and space technology. The Journal also contains notices of conferences and international workshops, industry news, and information on new products. It provides a useful forum for professional and academic scientists involved in geomatics science and technology.
Information on Open Research Funding and Support may be found here: https://www.springernature.com/gp/open-research/institutional-agreements