搜索结果: 1-15 共查到“遥感信息工程 Spatial Resolution”相关记录22条 . 查询时间(0.289 秒)
SPATIAL RESOLUTION EFFECTS OF DIGITAL TERRAIN MODELS ON LANDSLIDE SUSCEPTIBILITY ANALYSIS
Landslide Susceptibility analysis Certainty factor Artificial neural networks Remote sensing
2016/11/30
The purposes of this study are to identify the maximum number of correlated factors for landslide susceptibility mapping and to evaluate landslide susceptibility at Sihjhong river catchment in the sou...
ENHANCEMENT OF SPATIAL RESOLUTION OF THE LROC WIDE ANGLE CAMERA IMAGES
Moon Image Fusion LRO Wide Angle Camera
2016/11/23
Image fusion, a popular method for resolution enhancement in Earth-based remote sensing studies involves the integration of geometric (sharpness) detail of a high-resolution panchromatic (Pan) image a...
SCENE CLASSFICATION BASED ON THE SEMANTIC-FEATURE FUSION FULLY SPARSE TOPIC MODEL FOR HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGERY
Scene classification Fully sparse topic model Semantic-feature Fusion Limited training samples High spatial resolution
2016/11/23
Topic modeling has been an increasingly mature method to bridge the semantic gap between the low-level features and high-level semantic information. However, with more and more high spatial resolution...
A KERNEL METHOD BASED ON TOPIC MODEL FOR VERY HIGH SPATIAL RESOLUTION (VHSR) REMOTE SENSING IMAGE CLASSIFICATION
VHSR remote sensing image Classification Support vector machine (SVM) Composite kernel Latent Dirichlet allocation (LDA) Structure Spatial Spectral
2016/11/23
A kernel-based method for very high spatial resolution remote sensing image classification is proposed in this article. The new kernel method is based on spectral-spatial information and structure inf...
OBJECT BASED IMAGE ANALYSIS COMBINING HIGH SPATIAL RESOLUTION IMAGERY AND LASER POINT CLOUDS FOR URBAN LAND COVER
Object Based Image Analysis (OBIA) Image Segmentation Classification Accuracy Assessment nDSM Parcel Map TrueOrtho Photo Lidar Point Clouds
2016/7/28
With the rapid developments of the sensor technology, high spatial resolution imagery and airborne Lidar point clouds can be captured nowadays, which make classification, extraction, evaluation and an...
THE STUDY ON IMAGE FUSION FOR HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGES
Remote Sensing Image Fusion Image Evaluation Multiplication Modified Brovey High-Pass Filter Smoothing Filter-based Intensity Modulation
2015/12/31
Remote sensing images fusion can not only improve the spatial resolution for the original multispectral image, but also preserve the spectral information to a certain degree. In order to find out the ...
IMPROVING CLASSIFICATION ACCURACY VIA CONTEXTUAL FEATURE RANKING IN HIGH SPATIAL RESOLUTION SATELLITE IMAGERY
High Spatial Resolution Classification Texture Quantization Feature Ranking SVM
2015/12/31
Texture quantization is a useful method for extraction spatial relevance between pixels which is used in humane brain for image interpreting. Beside the spectral bands textural features of high spatia...
ACCURACY EVALUATION ON FUZZY SET CLASSIFICATION METHOD FOR HIGH SPATIAL RESOLUTION REMOTE SENSING DATA
Fuzzy set Classification High spatial resolution remote sensing data
2015/12/31
In the paper, a novel method for high spatial remote sensing data classification was put forward. The method was based on fuzzy set theory combined with NDVI. The classification experiments were carri...
AUTOMATIC ROAD EXTRACTION OF URBAN AREA FROM HIGH SPATIAL RESOLUTION REMOTELY SENSED IMAGERY
road extraction road connection K-mean cluster high spatial resolution
2015/12/23
For the significance of road information to the city management, urban roads are subjects of great concern to be extracted from remotely sensed images. With the availability of high spatial resolution...
REVIEW OF METHODS FOR DETERMINING THE SPATIAL RESOLUTION OF UAV SENSORS
UAV Calibration target GRD Spatial resolution Siemens Star
2015/9/10
The ground resolved distance (GRD) of an imaging sensor, i.e. the size of the smallest element distinguishable on acquired imagery, is one of the most important sensor quality assessment factors, as i...
APPLICATION OF HIGH SPATIAL RESOLUTION SATELLITE IMAGERY FOR URBAN ENVIRONMENT MAPPING
High resolution QuickBird RPC orthorectification Segmentation Object-oriented classification
2015/8/19
The aim of the study is to develop automatic procedures for the identification of urbanized and not urbanized areas using high spatial resolution remote sensing data. We examine the potential of panch...
REGION-BASED CLASSIFICATION POTENTIAL FOR LAND-COVER CLASSIFICATION WITH VERY HIGH SPATIAL RESOLUTION SATELLITE DATA
Very high spatial resolution satellite data segmentation region-based classification feature selection
2015/8/19
Since 1999, Very High spatial Resolution satellite data (Ikonos-2, QuickBird and OrbView-3) represent the surface of the Earth with more detail. However, information extraction by multispectral pixel-...
SEGMENTATION OF VERY HIGH SPATIAL RESOLUTION SATELLITE IMAGES IN URBAN AREAS FOR SEGMENTS-BASED CLASSIFICATION
Urban remote sensing Satellite Image Very High Spatial Resolution Segmentation Image Object Texture eCognition Software Scale Parameter
2015/8/3
High spatial Resolution (VHR) satellite images offer a great potential for the extraction of information for urban areas. In order to derive useful thematic maps from VHR satellite images, other appro...
ON-ORBIT SPATIAL RESOLUTION ESTIMATION OF CBERS-1 CCD IMAGING SYSTEM FROM BRIDGE IMAGES
CCD Camera Spatial Resolution Estimation Modelling Simulation Measurements Targets
2015/5/29
The first China-Brazil Earth Resources Satellite (CBERS) was launched in 1999 and recently was substituted by CBERS-2. CBERS- 1 and CBERS-2 have the same specifications and carry three sensors which c...
IMPERVIOUS SURFACE MAPPING RELATED TO SPATIAL RESOLUTION OF REMOTE SENSING DATA
Impervious urban land cover classification satellite remote sensing
2015/5/13
Land cover mapping is a valuable application of remote sensing data for many planning and management
activities. Many of the man-made surface covers such as buildings, roads and parking lots are imp...