- 充值
- 会员
- 职称材料
文献信息
IEEE Geoscience and Remote Sensing Letters (GRSL) is a monthly publication for short papers (maximum length 5 pages) addressing new ideas and formative concepts in remote sensing as well as important new and timely results and concepts. Papers should relate to the theory, concepts and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space, and the processing, interpretation, and dissemination of this information. The technical content of papers must be both new and significant. Experimental data must be complete and include sufficient description of experimental apparatus, methods, and relevant experimental conditions. GRSL encourages the incorporation of "extended objects" or "multimedia" such as animations to enhance the shorter papers.
Synthetic Aperture RadarRemote Sensing ImagesRemote SensingHyperspectral ImageHyperspectral Image ClassificationConvolutional Neural NetworksFeature ExtractionConvolutional Neural NetworkHyperspectral ImagingPolarimetric Synthetic Aperture RadarDeep LearningObject DetectionRemote Sensing ImageRadar ImagingTask AnalysisSemantic SegmentationInterferometric Synthetic Aperture RadarHyperspectral ImageryMODerate Resolution Imaging SpectroradiometerImage Edge Detection
vol.22 (2025)
vol.21 (2024)
vol.20 (2023)
vol.19 (2022)
vol.18 (2021)
vol.17 (2020)
vol.16 (2019)
vol.15 (2018)
vol.14 (2017)
vol.13 (2016)
vol.12 (2015)
vol.11 (2014)
vol.10 (2013)
vol.9 (2012)
vol.8 (2011)
vol.7 (2010)
vol.6 (2009)
vol.5 (2008)
vol.4 (2007)
vol.3 (2006)
vol.2 (2005)
vol.1 (2004)