ALL-RUSSIA OPEN ANNUAL CONFERENCES ON
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE
Principal physics, methods and techniques for monitoring the environment, potentially dangerous phenomena and objects
рус
Proceedings of the 16th Conference (November 12-16, 2018, Moscow, Russia)
Cloud Screening on Monochromatic Images of MSU-100M (Meteor-M №2) Based on Spatial Analysis and Ground Objects Boundaries
Pavel A. Kolbudaev, Dmitry E. Plotnikov, Sergey A. Bartalev
Space Research Institute, Russian Academy of Sciences, Moscow, Russia
kolbudaev@d902.iki.rssi.ru
DOI 10.21046/rorse2018.139
The study is devoted to the development of a method for clouds detection on monochromatic images of the MSU-100M instrument onboard Meteor-M №2 satellite. Being preparatory for cloud masking, a method for recalibrating of input data and a new format for image spatial arrangement and processing were implemented and described. MSU-100M images localized registration was based on MODIS composite images, following further enhancement based on the comparison with the objects boundaries derived from the segmentation of OLI cloud-free imagery. As an example, we used near-infrared bands data derived from OLI (Landsat-8) and MODIS (Terra) devices. The specific of the methodology is that it requires data from one MSU-100M spectral channel only.
Keywords: remote sensing, Meteor-M series, MSU-100M, MODIS, Landsat, OLI, cloud detection
References: - [1] Zhe Zhu, Curtis E. Woodcock. Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment, 118(15), 83-94
- [2] Kolbudaev P.A., Bartalev S.A., Matveev A.M., Plotnikov D.E. Technology for processing time series of satellite data Landsat-TM / ETM + , Eleventh All-Russian Open Conference "Modern Problems of Remote Sensing of the Earth from Space." Moscow. IKI RAS, November 11-15, 2013. Conference Abstracts, 2013. p. 37.
- [3] Plotnikov D.E., Kolbudaev P.A., Bartalev S.A. Identification of dynamically homogeneous areas with time series segmentation of remote sensing data, Computer Optics, 2018; 42(3): 447-456. DOI: 10.18287/2412-6179-2018-42-3-447-456.
- [4] Loupian E.A., A.A. Proshin, M.A. Burtsev, I.V. Balashov, S.A. Bartalev, V.Yu. Efremov, A.V. Kashnitskiy, A.A. Mazurov, A.M. Matveev, O.A. Sudneva, I.G. Sychugov, V.A. Tolpin, I.A. Uvarov. IKI center for collective use of satellite data archiving, processing and analysis systems aimed at solving the problems of environmental study and monitoring, Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa, 2015, 12(5), pp. 247-267.
Download pdf
Section 2. Methods and algorithms for processing remote monitoring data
139-144