Proceedings of the 5th China High Resolution Earth Observation Conference (CHREOC 2018). ([2019])
- Record Type:
- Book
- Title:
- Proceedings of the 5th China High Resolution Earth Observation Conference (CHREOC 2018). ([2019])
- Main Title:
- Proceedings of the 5th China High Resolution Earth Observation Conference (CHREOC 2018)
- Other Titles:
- CHREOC 2018
- Further Information:
- Note: Liheng Wang, Yirong Wu, Jianya Gong, editors.
- Editors:
- Wang, Liheng
Wu, Yirong
Gong, Jianya - Other Names:
- China High Resolution Earth Observation Conference, 5th
- Contents:
- Intro; Contents; Satellite Energy Prediction and Autonomous Management Technology; Abstract; 1 Introduction; 2 The Design of Satellite Energy Autonomous Management System; 2.1 Solar Array Output Power Prediction; 2.2 Energy Autonomous Management; 2.3 Space-Ground Integration Energy Autonomous Management System; 3 Conclusion; References; Research on Key Technologies of Geosynchronous SAR Imaging System; Abstract; 1 Introduction; 2 GEOSAR Geometric Model; 2.1 GEOSAR Echo Signal Model; 2.2 GEOSAR Echo Two-Dimensional Frequency Domain Expression 3 GEOSAR Image Processing Algorithm for Large Strabismus4 Simulation Experiment; 5 Conclusion; References; Sea-Land Segmentation Algorithm for SAR Images Based on Superpixel Merging; Abstract; 1 Introduction; 2 Superpixel Generation; 2.1 SLIC Algorithm; 2.2 Presegmentation Based on Modified SLIC; 2.2.1 Dissimilarity Measure; 2.2.2 Image Presegmentation; 3 Proposed Segmentation Method; 3.1 Superpixel Merging Rules; 3.1.1 Vicinity Rule; 3.1.2 Edge Rule; 3.1.3 Similarity Rule; 3.2 Coarse to Fine Strategy for Superpixel Merging; 3.2.1 Coarse Merging Stage (CMS); 3.2.2 Fine Merging Stage (FMS) 3.3 Flowchart of the Proposed Algorithm4 Experimental Results and Discussion; 5 Conclusions; References; Vector Quantization: Timeline-Based Location Data Extraction and Route Fitting for Crowdsourcing; Abstract; 1 Introduction; 2 Related Work; 3 Contribution and Paper Structure; 3.1 Summary of Key Contributions; 3.2 Paper Structure; 4 Preliminaries;Intro; Contents; Satellite Energy Prediction and Autonomous Management Technology; Abstract; 1 Introduction; 2 The Design of Satellite Energy Autonomous Management System; 2.1 Solar Array Output Power Prediction; 2.2 Energy Autonomous Management; 2.3 Space-Ground Integration Energy Autonomous Management System; 3 Conclusion; References; Research on Key Technologies of Geosynchronous SAR Imaging System; Abstract; 1 Introduction; 2 GEOSAR Geometric Model; 2.1 GEOSAR Echo Signal Model; 2.2 GEOSAR Echo Two-Dimensional Frequency Domain Expression 3 GEOSAR Image Processing Algorithm for Large Strabismus4 Simulation Experiment; 5 Conclusion; References; Sea-Land Segmentation Algorithm for SAR Images Based on Superpixel Merging; Abstract; 1 Introduction; 2 Superpixel Generation; 2.1 SLIC Algorithm; 2.2 Presegmentation Based on Modified SLIC; 2.2.1 Dissimilarity Measure; 2.2.2 Image Presegmentation; 3 Proposed Segmentation Method; 3.1 Superpixel Merging Rules; 3.1.1 Vicinity Rule; 3.1.2 Edge Rule; 3.1.3 Similarity Rule; 3.2 Coarse to Fine Strategy for Superpixel Merging; 3.2.1 Coarse Merging Stage (CMS); 3.2.2 Fine Merging Stage (FMS) 3.3 Flowchart of the Proposed Algorithm4 Experimental Results and Discussion; 5 Conclusions; References; Vector Quantization: Timeline-Based Location Data Extraction and Route Fitting for Crowdsourcing; Abstract; 1 Introduction; 2 Related Work; 3 Contribution and Paper Structure; 3.1 Summary of Key Contributions; 3.2 Paper Structure; 4 Preliminaries; 4.1 System Overview; 4.2 Techniques; 4.2.1 Vector Quantization; 4.2.2 Cluster; 5 Of Model; 5.1 Algorithm of DB-SCAN Model; 5.2 Algorithm of Grid-K-Means Model; 6 Experiment and Theoretical Analysis; 7 Conclusion; References Target Aspect Estimation in SAR Images via Two-Dimensional Entropic Thresholding and Radon TransformAbstract; 1 Introduction; 2 Image Processing; 2.1 2D Maximum Entropy Thresholding; 2.2 Radon Transform; 3 Aspect Estimation; 4 Experiments; 5 Conclusion; References; Signal Model and System Parameter Study for Geosynchronous Circular SAR; Abstract; 1 Introduction; 2 Geometry Model and Orbital Designing of Geo-CSAR; 2.1 Geo-CSAR Geometry Model; 2.2 Orbital Parameter Designing of Geo-CSAR; 3 Signal Model Analysis; 4 System Parameter Designing and Simulation 4.1 Geo-CSAR System Parameter Designing4.2 Point Target Imaging Simulation; 5 Conclusion; Acknowledgements; References; Low-Light Remote Sensing Images Enhancement Algorithm Based on Fully Convolutional Neural Network; Abstract; 1 Introduction; 2 Method; 2.1 Description of Fully Convolutional Neural Network Structure; 2.2 Preparation of Dataset Used for Training; 2.3 Training Process of Fully Convolutional Neural Network; 2.4 Neural Network Training Based on Adam Optimizer; 3 Analysis of Numerical Results Based on SID Dataset; 4 Conclusion; References … (more)
- Publisher Details:
- ingapore : Springer
- Publication Date:
- 2019
- Extent:
- 1 online resource, illustrations
- Subjects:
- 550.28
Remote-sensing images -- Congresses
Earth sciences -- Remote sensing -- Congresses
Remote sensing -- Congresses
SCIENCE / Earth Sciences / General
SCIENCE / Physics / Geophysics
Earth (Planet) -- Observations -- Congresses
Electronic books
Electronic books - Languages:
- English
- ISBNs:
- 9789811365539
9811365539 - Related ISBNs:
- 9789811365522
- Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF title page (EBSCO, viewed March 26, 2019). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.403853
- Ingest File:
- 02_463.xml