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	题名	作者	年代	出处	被引量
1	Big earth data analytics on Sentinel-1 and Landsat imagery in support to global human settlements mapping显示文摘Continuous global-scale mapping of human settlements in the service of international agreements calls for massive volume of multi-source,multi-temporal,and multi-scale earth observation data.In this paper,the latest developments in terms of processing big earth observation data for the purpose of improving the Global Human Settlement Layer(GHSL)data are presented.Two experiments with Sentinel-1 and Landsat data collections were run leveraging on the Joint Research Centre Earth Observation Data and Processing Platform.A comparative analysis of the results of built-up areas extraction from different remote sensing data and processing workflows shows how the information production supported by data-intensive computing infrastructure for optimization and multiple testing can improve the output information reliability and consistency within the GHSL scope.The paper presents the processing workflows and the results of the two main experiments,giving insights into the enhanced mapping capabilities gained by analyzing Sentinel-1 and Landsat data-sets,and the lessons learnt in terms of handling and processing big earth observation data.	Christina Corbane Martino Pesaresi Panagiotis Politis Vasileios Syrris Aneta JFlorczyk Pierre Soille Luca Maffenini Armin Burger Veselin Vasilev Dario Rodriguez Filip Sabo Lewis Dijkstra Thomas Kemper	2017	Big Earth Data2017，1，1：	3
2	Automated global delineation of human settlements from 40 years of Landsat satellite data archives显示文摘This paper presents the analysis of Earth Observation data records collected between 1975 and 2014 for assessing the extent and temporal evolution of the built-up surface in the frame of the Global Human Settlement Layer project.The scale of the information produced by the study enables the assessment of the whole continuum of human settlements from rural hamlets to megacities.The study applies enhanced processing methods as compared to the first production of the GHSL baseline data.The major improvements include the use of a more refined learning set on built-up areas derived from Sentinel-1 data which allowed testing the added-value of incremental learning in big data analytics.Herein,the new features of the GHSL built-up grids and the methods are described and compared with the previous ones using a reference set of building footprints for 277 areas of interest.The results show a gradual improvement in the accuracy measures with a gain of 3.6% in the balanced accuracy,between the first production of the GHSL baseline and the latest GHSL multitemporal built-up grids.A validation of the multitemporal component is also conducted at the global scale establishing the reliability of the built-up layer across time.	Christina Corbane Martino Pesaresi Thomas Kemper Panagiotis Politis Aneta J.Florczyk Vasileios Syrris Michele Melchiorri Filip Sabo Pierre Soille	2019	Big Earth Data2019，3，2：	3
3	Watersheds in digital spaces: an efficient algorithm based on immersion simulations 显示文摘	VINCENT L SOILLE P	1991	IEEE Transactions on Pattern Analysis and Machine Intelligence1991，13，6：	1
4	Morphological image compositing显示文摘	SOILLE P	2006	IEEE Transactions on Pattern Analysis and Machine Intelligence2006，28，5：	1
5	Watersheds in digital spaces: An efficient algorithm based on immersion simulations显示文摘	L Vincent P Soille	1991	IEEE Trans PAMI1991，13，6：	1
6	Watersheds in digital spaee: An efficient algorithms based on immersion simulalion 显示文摘	]L Vineent P Soille	1991	1EEE Transactions on Pattern Analysis and Machine Intelligence1991，13，6：	1
7	Order independent image compositing显示文摘	BIELSKI C SOILLE P	2005	Lecture Notes in Computer Science2005，3617，：	1
8	Watershed in digital spaces: An efficient algorithms based on immersion simulation 显示文摘	VINCENT L SOILLE P	1991	IEEE Transactions on PAMI1991，13，6：	1
9	A Probabilistic Approach to River Network Detection in Digital Elevation Models显示文摘	POGGIO L SOILLE P	2011	Catena2011，87，3：	1
10	Watersheds in Digital Spaces: An Ef- ficient Algorithm Based on Immersion Simulations 显示文摘	Vincent L Soille P	1991	IEEE Transactions on Pattern Analysis & Machine Intelli- gence1991，13，6：	1
11	Watersheds in digital spaces:An efficient algorithm based on immersion simulations显示文摘	Vincent L Soill P	1991	IEEE Transactions on Pattern Analysis and Machine Intelligence1991，13，6：	1
12	Watershed in digital spaces: an efficient algorithm based on immersion simulations 显示文摘	VINCENT L SOILLE P	1991	IEEE Trans on Pattern Analysis and Machine In telligence1991，13，6：	1
13	Watersheds in Digital Spaces:An Efficient Algorithm Based on Immersion Simulations显示文摘	L Vincent P Soille	1991	IEEE Transactions on Pattern Analysis and Machine Inteligence1991，13，：	1
14	Watersheds in digital spaces: an efficient algorithm based on immersion simulations显示文摘	Vincent L Soille P	1991	IEEE Transactions on Pattern Analysis and Machine Intelligence1991，13，6：	1
15	Watersheds in digital spaces:an efficient algorithm based on immersion simulations显示文摘	L Vincent P Soille	1991	IEEE Transac- tions on Pattern Analysis and Machine Intelligence1991，13，6：	1
16	Morphological phase unwrapping显示文摘	Soille P	2000	Laser Eng2000，32，4：	1
17	Watersheds in digital spaces: An efficient algo rithm based on immersion simulation 显示文摘	Soille P	1991	IEEE Trans Pattern Anal Machine Intell1991，13，6：	1
18	Watershed in digital space: an implementation显示文摘	Soille Pierre		IEEE Transactions on Pattern Analysis and Machine Intelligence0，13，6：	1
19	Advances in mathematical morphology applied to geoscience and remote sensing 显示文摘	Soille P Pesaresi M	2002	IEEE Transactions on Geoscience and Remote Sensing2002，40，9：	1
20	Watersheds in digital spaces:An efficient algorithm based on immersion simulations显示文摘	Vincent L Soille P		0，，6：	1

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