Geo-Spatial Knowledge and Intelligence : 4th International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2016, Hong Kong, China, November 18-20, 2016, Revised Selected Papers, Part I /
The two volume proceedings of CCIS 698 and 699 constitutes revised selected papers from the 4th International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2016, held in Hong Kong, China, in November 2016. The total of 118 papers presented in these proceedings...
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Corporate Authors: | |
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Group Author: | ; ; |
Published: |
Springer Singapore : Imprint: Springer,
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Publisher Address: | Singapore : |
Publication Dates: | 2017. |
Literature type: | eBook |
Language: | English |
Series: |
Communications in Computer and Information Science,
698 |
Subjects: | |
Online Access: |
http://dx.doi.org/10.1007/978-981-10-3966-9 |
Summary: |
The two volume proceedings of CCIS 698 and 699 constitutes revised selected papers from the 4th International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2016, held in Hong Kong, China, in November 2016. The total of 118 papers presented in these proceedings were carefully reviewed and selected from 311 submissions. The contributions were organized in topical sections named: smart city in resource management and sustainable ecosystem; spatial data acquisition through RS and GIS in resource management and sustainable ecosystem; ecological and environm |
Carrier Form: | 1 online resource(XLIX,605pages): illustrations. |
ISBN: | 9789811039669 |
Index Number: | QA75 |
CLC: | P208.2-532 |
Contents: | Session 1: Smart City in Resource Management and Sustainable Ecosystem -- Study of Ecosystem Sensitivity Based on Grid GIS in Leishan County -- The Design and Implementation of Field Patrol Inspection System Based on GPS-tablet PC -- The Vehicle Route Modeling and Optimization Considering the Dynamic Demands and Traffic Information -- Developing a 3D Routing Instruction Engine for Indoor Environment -- Saliency Detection for High Dynamic Range Images via Global and Local Cues -- Research on Vegetable Growth Monitoring Platform Based on Facility Agricultural IOT -- A Novel Framework for Analy |