搜索结果: 1-7 共查到“测绘科学技术 optimisation”相关记录7条 . 查询时间(0.078 秒)
USE AND OPTIMISATION OF PAID CROWDSOURCING FOR THE COLLECTION OF GEODATA
Crowdsourcing Data Collection Geodata
2016/11/8
Crowdsourcing is a new technology and a new business model that will change the way in which we work in many fields in the future. Employers divide and source out their work to a huge number of anonym...
Data Harmonisation and Optimisation for Development of Multi-scale Vector Databases
Multi-source multi-resolution vector database data Kits imagery requirements and constraints
2015/10/12
The increasing number of Earth observation sensors on the market is making the choice of optimized data sources to serve
operational needs more complex than ever before. Applying a geographic perspe...
A BAYESIAN OPTIMISATION APPROACH FOR MODEL INVERSION OF HYPERSPECTRAL-MULTIDIRECTIONAL OBSERVATIONS: THE BALANCE WITH A PRIORI INFORMATION
model inversion hyperspectral multidirectional
2015/9/8
Hyperspectral-multidirectional radiance observations of the land surface from space potentially form one of the richest sources of
geobiophysical information possible. For soil-vegetation objects, th...
SEMIAUTOMATIC ROAD EXTRACTION BY DYNAMIC PROGRAMMING OPTIMISATION IN THE OBJECT SPACE:SINGLE IMAGE CASE
Dynamic Programming road model feature extraction road extraction aerial images
2015/8/31
This article proposes a novel road extraction methodology from digital images. The innovation is based on the dynamic programming (DP) algorithm to carry out the optimisation process in the object spa...
SEMIAUTOMATIC ROAD EXTRACTION BY DYNAMIC PROGRAMMING OPTIMISATION IN THE OBJECT SPACE:SINGLE IMAGE CASE
Dynamic Programming road model feature extraction road extraction aerial images
2015/8/28
This article proposes a novel road extraction methodology from digital images. The innovation is based on the dynamic programming (DP) algorithm to carry out the optimisation process in the object spa...
OPTIMISATION OF FUZZY BASED SOFT CLASSIFIERS FOR REMOTE SENSING DATA
Fuzzy c-Mean (FCM) Possiblistic c-Mean (PCM) Noise clustering (NC) Sub pixel confusion uncertainty matrix (SCM)
2014/4/28
Classification of satellite images are complex process and accuracy of the output is dependent on classifier parameters. This paper examines the effect of various parameters like weighted exponent "m"...
SEGMENT OPTIMISATION FOR OBJECT-BASED LANDSLIDE DETECTION
Disaster Management OOA Objective Function Cartosat-1 Resourcesat-1 Moran’s I
2014/6/12
Advances in remote sensing technology and image analysis systems have led to an increase in automatic feature extraction technique for several novel applications. Object-oriented analysis (OOA) ofhigh...