Development of a Commercial-Off-the-Shelf Imaging Payload with Onboard Image Classification and Processing

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2022-07-17 DOI:10.1109/IGARSS46834.2022.9884595

S. Oktaviani, I. H. Saugi, Aipujana T. Santaso, Edwar, F. A. Hidayat, Muhammad Alif P. Dafi, S. G. Muzhaffar, Maulana Muhammad Aziz, L. K. Fitriyanti, Mark Angelo C. Purio, Yasir M. O. Abbas, T. Leong

{"title":"Development of a Commercial-Off-the-Shelf Imaging Payload with Onboard Image Classification and Processing","authors":"S. Oktaviani, I. H. Saugi, Aipujana T. Santaso, Edwar, F. A. Hidayat, Muhammad Alif P. Dafi, S. G. Muzhaffar, Maulana Muhammad Aziz, L. K. Fitriyanti, Mark Angelo C. Purio, Yasir M. O. Abbas, T. Leong","doi":"10.1109/IGARSS46834.2022.9884595","DOIUrl":null,"url":null,"abstract":"Climate change has occurred as a result of human activities. It can trigger unexpected disasters such as floods or drought. Further severe events may be avoided by monitoring climate change. A method to do that is monitoring the cloud coverage in some areas. In this paper, the development of a CubeSat payload that can monitor cloud coverage is presented. It contains a COTS camera module, microcontrollers, and a cloud classification algorithm. This payload is a joint research between Telkom University and Kyushu Institute of Technology under IEEE GRSS 2nd Student Grand Challenge. This payload has been implemented and tested and the result is the payload able to capture images in a long period and classify the cloud feature of each of them. Currently, it has reached the flight model stage and is ready to get further space environmental tests.","PeriodicalId":426003,"journal":{"name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS46834.2022.9884595","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

Abstract

Climate change has occurred as a result of human activities. It can trigger unexpected disasters such as floods or drought. Further severe events may be avoided by monitoring climate change. A method to do that is monitoring the cloud coverage in some areas. In this paper, the development of a CubeSat payload that can monitor cloud coverage is presented. It contains a COTS camera module, microcontrollers, and a cloud classification algorithm. This payload is a joint research between Telkom University and Kyushu Institute of Technology under IEEE GRSS 2nd Student Grand Challenge. This payload has been implemented and tested and the result is the payload able to capture images in a long period and classify the cloud feature of each of them. Currently, it has reached the flight model stage and is ready to get further space environmental tests.

查看原文本刊更多论文

具有机载图像分类和处理的商用现成成像有效载荷的开发

气候变化是人类活动的结果。它可能引发意想不到的灾难，如洪水或干旱。通过监测气候变化，可以避免进一步的严重事件。一种方法是监测某些地区的云层覆盖。本文介绍了一种能够监测云覆盖的立方体卫星有效载荷的开发。它包含COTS相机模块、微控制器和云分类算法。该有效载荷是电信大学和九州理工学院在IEEE GRSS第二届学生大挑战下的联合研究。该有效载荷已经实现并进行了测试，结果是有效载荷能够长时间捕获图像并对每张图像的云特征进行分类。目前，它已进入飞行模型阶段，并准备进行进一步的空间环境测试。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

自引率

0.00%

发文量