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RESEARCH ON A DECISIVE EVALUATION METHOD FOR CHANGE DETECTION BASED ON APPLICATION
Decision Support Systems Image Understanding Change Detection Accuracy Analysis Land Cover Accuracy Assessment Data Quality Modeling Statistical Analysis
2015/12/31
Change detection methods of remote sensing have been developed from pixel-based to feature-based and the data sources of change detection have been developed from medium-resolution to high resolution ...
STUDY ON INDEPENDENT COMPONENT ANALYSIS’APPLICATION IN CLASSIFICATION AND CHANGE DETECTION OF MULTISPECTRAL IMAGES
Image Classification Change Detection Independent Component Analysis Principal Component Analysis
2015/12/31
Image classification and change detection is a hot topic in remote sensing. This paper sought to apply the method of independent component analysis (ICA), which develops from blind source separation, ...
RESPONSE CHARACTERISTIC ANALYSIS OF CLIMATE CHANGE OF VEGETATION ACTIVITY IN HUANGHE-HUAIHE-HAIHE ZONE BASED ON NOAA NDVI DATA SET
NDVI Climate Change Green Wave Brown Wave Huanghe-Huaihe-Haihe (HHH) Zone
2015/12/31
The article, using the each ten day’s data of NOAA/AVHRR from 1981 to 2000 and adopting the Maximum-Slope Method and Curve-Fitting Method, analyzes the beginning and ending of the growth season of the...
VEGETATION COVER CHANGE MONITORING AND ANALYZING IN HUANGHE-HUAIHE-HAIHE ZONE BASED ON MULTI-SOURCE INFORMATION FUSION
Holdridge Unsupervised Classification Yellow River-Huai River-Hai River Area Multi-source Information Changing of Vegetation Coverage
2015/12/31
Vegetation, as the comprehensive reflection of climate and other environmental elements, is closely related with climate changes.The article, on the basis of Holdridge life zone index method and the u...
A CHANGE DETECTION METHOD WITH HIGH RESOLUTION IMAGES BASED ON POLYGON AUTOMATIC VALIDATING
High Resolution Image Image Understanding Change Detection Feature Extraction Texture Analysis Urban Planning Validation Object-oriented Data Model
2015/12/31
In Beijing, the earth surface changes has reached 5 % each year, and artificial detection with high resolution images has been applied to peccancy building monitoring and road change detection. The ma...
RESEARCH ON CHANGE DETECTION OF OUTDATED MAP ROAD FEATURE BASED ON UPDATED HIGH-RESOLUTION REMOTE SENSING IMAGE
Satellite remote sensing Change detection Image understanding Feature detection Updating matching High-resolution image
2015/12/31
This paper researched on change detection of outdated map road feature based on updated high-resolution satellite remote sensing (RS) image. The change of road feature was divided into two parts: one ...
DYNAMIC CHANGE MONITORING OF FOREST RESOURCE BY USING REMOTE SENSING AND MARKOV PROCESS IN LOESS PLATEAU OF CHINA
Multi-Spectral Remote Sensing Change Detection Image Understanding Spatial Analysis Forestry Markov Process Dynamic Monitoring
2015/12/31
This study applies remote sensing technology combined with Markov Process to monitor and forecast the dynamic change of forest resource in Chinese Loess Plateau. At first, according to the dynamic cha...
HYPERTEMPORAL IMAGE ANALYSIS FOR CROP MAPPING AND CHANGE DETECTION
Multitemporal Change Detection Mapping Monitoring Data Mining SPOT Crop Land Cover
2015/12/31
Many authors explored the use of multi-temporal images, recorded within a season or across years, for (i) ecosystem monitoring, (ii) land cover (crop) identification, and (iii) change detection(Copin ...
ROBUST CHANGE DETECTION BY INTEGRATING OBJECT-SPECIFIC FEATURES
Urban Change Detection High Resolution Images Object-Specific Features Feature Fusion Quickbird
2015/12/31
Urban change detection of high resolution images is very difficult due to the complex nature of the urban environments. A robust approach is proposed in this paper for urban change detection of high r...
A REVIEW OF MULTI-TEMPORAL REMOTE SENSING DATA CHANGE DETECTION ALGORITHMS
Remote Sensing Change Detection Classification Framework Accuracy Assessment
2015/12/31
Change information of the earth's surface is becoming more and more important in monitoring the local, regional and global resources and environment. The large collection of past and present remote se...
IMPROVING 2D CHANGE DETECTION BY USING AVAILABLE 3D DATA
Remote Sensing Change Detection Updating Segmentation 3D Object Oriented
2015/12/31
Change detection with very high resolution imagery is difficult, because 3D objects as buildings appear differently in 2D imagery due to varying viewing angles and sun positions. This research propose...
GENETIC ALGORITHM OPTIMIZED NEUTRAL NETWORK CLASSIFICATION AND OVERLAPPING PIXEL CHANGE DETECTION BASED ON REMOTE SENSING FOR URBAN SPRAWL:A CASE STUDY IN JIADING DISTRICT OF SHANGHAI,CHINA
Multi-Spectral Remote Sensing Landuse Image Understanding Change Detection Urban Planning Back Propagation algorithm Genetic Algorithm Jiading District
2015/12/31
Taking Jiading district of Shanghai as the study area, which is one of the most typical urbanization fringe regions in Shanghai during the past decades, the urban sprawl in this region from 1989 to 20...
MODELLING SPATIO-TEMPORAL PATTERN OF LANDUSE CHANGE USING MULTITEMPORAL REMOTELY SENSED IMAGERY
Multitemporal Image Processing Change Detection Change Trajectory Analysis Land Cover Aridzone
2015/12/31
Remotely sensed data is the most important data source for environmental change study over the past 40 years. Since large collections of remote sensing imagery have been acquired in a time frame of su...
ANALYSIS OF LAND USE CHANGE IN GUANGZHOU CITY BASED ON TM （ 1997－2003）
TM Land use Classification Land use change Guangzhou
2015/12/31
In this paper,it gave a detailed introduction about the classification process of land use in Guangzhou supported by RS and GIS software using the data of Landsat TM of 1997 and 2003. After being geom...
CHANGE DETECTION OF FOREST CROWN CLOSURE USING AN INVERTED GEOMETRIC-OPTICAL MODEL AND SCALING
Change detection Forest crown closure Geometric-optical model Scaling MODIS Three Gorges region
2015/12/30
The physical based Li-Strahler geometric-optical model can be inverted to retrieve forest canopy structural variables. One of the main input variables of the inverted model is the fractional component...