搜索结果: 1-15 共查到“遥感信息工程 features”相关记录40条 . 查询时间(0.077 秒)
THE ESTIMATE OF THE SPATIAL-TEMPORAL FEATURES OF VEGETATION COVER OF KAZAKHSTAN BASED ON TIME SERIES SATELLITE INDECES IN 2000-2015
remote sensing vegetation indices long-term series trend drought
2016/12/1
The article presents the evaluation of spatial-temporal characteristics of Kazakhstan arid and semi-arid areas' vegetation on the basis of time series of differential and integral vegetation indices. ...
ASSESSMENT OF FIRE SEVERITY AND POST-FIRE REGENERATION BASED ON TOPOGRAPHICAL FEATURES USING MULTITEMPORAL LANDSAT IMAGERY:A CASE STUDY in MERSIN,TURKEY
dNBR Fire Severity Landsat ETM+ NDVI SAVI Vegetation Regeneration Wildfire
2016/11/30
Satellite based remote sensing technologies and Geographical Information Systems (GIS) present operable and cost-effective solutions for mapping fires and observing post-fire regeneration. Mersin-Güln...
COMBINING SPECTRAL AND TEXTURE FEATURES USING RANDOM FOREST ALGORITHM: EXTRACTING IMPERVIOUS SURFACE AREA IN WUHAN
Impervious surface area Random forest Texture features
2016/11/23
Impervious surface area (ISA) is one of the most important indicators of urban environments. At present, based on multi-resolution remote sensing images, numerous approaches have been proposed to extr...
THE APPLICATION OF SUPPORT VECTOR MACHINE (SVM) USING CIELAB COLOR MODEL, COLOR INTENSITY AND COLOR CONSTANCY AS FEATURES FOR ORTHO IMAGE CLASSIFICATION OF BENTHIC HABITATS IN HINATUAN,SURIGAO DEL SUR,PHILIPPINES
Benthic habitat mapping Image processing CIELAB Color science OBIA SVM
2016/11/23
This study demonstrates the application of CIELAB, Color intensity, and One Dimensional Scalar Constancy as features for image recognition and classifying benthic habitats in an image with the coastal...
DETECTING LINEAR FEATURES BY SPATIAL POINT PROCESSES
Linear Feature Feature Detection Spatial Point Processes Global Optimization Simulated Annealing Markov Chain Monte Carlo
2016/7/28
This paper proposes a novel approach for linear feature detection. The contribution is twofold: a novel model for spatial point processes and a new method for linear feature detection. It describes a ...
AN EFFICIENT METHOD FOR AUTOMATIC ROAD EXTRACTION BASED ON MULTIPLE FEATURES FROM LiDAR DATA
Remote sensing feature extraction pattern recognition LiDAR Road detection
2016/7/27
The road extraction in urban areas is difficult task due to the complicated patterns and many contextual objects. LiDAR data directly provides three dimensional (3D) points with less occlusions and sm...
DE-STRIPING FOR TDICCD REMOTE SENSING IMAGE BASED ON STATISTICAL FEATURES OF HISTOGRAM
Statistical Features of Histogram De-striping Histogrammic Centroid Correlation Coefficient Automatic Cloud Detection Non-uniformity
2016/7/4
Aim to striping noise brought by non-uniform response of remote sensing TDI CCD, a novel de-striping method based on statistical features of image histogram is put forward. By analysing the distributi...
OBJECT-BASED ANALYSIS OF LIDAR GEOMETRIC FEATURES FOR VEGETATION DETECTION IN SHADED AREAS
LIDAR Object-based Analysis
2016/7/4
The extraction of land cover information from remote sensing data is a complex process. Spectral information has been widely utilized in classifying remote sensing images. However, shadows limit the u...
URBAN AREA CLASSIFICATION IN HIGH RESOLUTION SAR BASED ON TEXTURE FEATURES
Synthetic Aperture Radar High Spatial Resolution Urban Area Texture GLCM Separability
2016/3/17
Texture features in high resolution TerraSAR-X data were used for classification in this paper. In single band and single polarized SAR image, texture holds useful information for interpreting objects...
SELECTING FEATURES FOR URBAN CHANGE DETECTION
Urban Change Detection High Resolution Images Feature Selection Machine Learning
2015/12/31
In machine learning, the preprocessing of the observations and the resulting features are one of the most important factors for the performance of the final system. In this paper, a robust approach to...
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...
AN CBRSIR FEATURES COMPRESSION APPROACH BASED ON DPSO AND SVM
Feature Compression CBRSIR DPSO SVM
2015/12/30
The number of image features used by content-based remote sensing image retrieval (CBRSIR) system is not less than one hundred, and the image amount is very large, at the same time, the time cost is v...
STUDY ON SPECTRAL FEATURES OF SOIL ORGANIC MATTER
Soil Organic Matter (SOM) Spectral Features Stepwise Regression Analysis
2015/12/30
The study on soil spectral reflectance features is the physical basis for soil remote sensing. Soil organic matter content influences the soil spectral reflectance dramatically. This paper studied the...
DETECTION AND INTERPRETATION OF GEOLOGICAL LINEAR FEATURES ON THE SATELLITE IMAGES BY USING GRADIENT FILTERING AND PRINCIPAL COMPONENT ANALYSIS
Geological Linear Feature Edge Detections Filtering Remote Sensing Landsat
2015/12/29
Digital image processing has the ability to detect geological linear features on the image by using some algorithms. The most common algorithm which is used for this purpose is edge filtering. Gradien...
REMOTE SENSING OF SEA SURFACE FEATURES: IMPLICATIONS OF FISHERIES IN NORTH PACIFIC OCEAN
Sea Surface Features NOAA AVHRR SeaWiFs Fisheries North Pacific Ocean
2015/12/28
The use of remote sensing methods to examine physical oceanography is becoming increasingly important within marine fisheries oceanography. This paper mainly discussed the surface sea conditions, usin...