搜索结果: 1-15 共查到“spatial resolution”相关记录76条 . 查询时间(0.121 秒)
Astrape: A System for Mapping Severe Abiotic Forest Disturbances Using High Spatial Resolution Satellite Imagery and Unsupervised Classification
astrapeforest disturbanceSentinel-2planetdoveimage segmentation RSGISLibjenksXGBoost
2023/12/6
Severe forest disturbance events are becoming more common due to climate change and many forest managers rely heavily upon airborne surveys to map damage. However, when the damage is extensive, airbor...
COMBINING HIGH SPATIAL RESOLUTION OPTICAL AND LIDAR DATA FOR OBJECT-BASED IMAGE CLASSIFICATION
High Spatial Resolution Lidar Object-Based Classification Aerial Image Image segmentation
2018/5/14
In order to classify high spatial resolution images more accurately, in this research, a hierarchical rule-based object-based classification framework was developed based on a high-resolution image wi...
THE APPLICATION OF CHINESE HIGH-SPATIAL-RESOLUTION REMOTE SENSING SATELLITE IMAGE IN LAND LAW ENFORCEMENT INFORMATION EXTRACTION
land use high resolution batch process geoprocessing model information extraction mapping
2018/5/15
Chinese high -resolution (HR) remote sensing satellites have made huge leap in the past decade. Commercial satellite datasets, such as GF-1, GF-2 and ZY-3 images, the panchromatic images (PAN) resolut...
THE ANALYSIS OF BURROWS RECOGNITION ACCURACY IN XINJIANG'S PASTURE AREA BASED ON UAV VISIBLE IMAGES WITH DIFFERENT SPATIAL RESOLUTION
Rodent disaster monitoring, UAV, Low altitude remote sensing, Multi-spatial scale, Object-based image analysis, Grassland protection
2018/5/15
The rodent disaster is one of the main biological disasters in grassland in northern Xinjiang. The eating and digging behaviors will cause the destruction of ground vegetation, which seriously affecte...
BUILDING EXTRACTION BASED ON OPENSTREETMAP TAGS AND VERY HIGH SPATIAL RESOLUTION IMAGE IN URBAN AREA
Building extraction OpenStreetMap Very High Spatial Resolution Tag-based Automatic interpretation urban area
2018/5/14
How to derive contour of buildings from VHR images is the essential problem for automatic building extraction in urban area. To solve this problem, OSM data is introduced to offer vector contour infor...
RESEARCH ON HORIZONTAL ACCURACY METHOD OF HIGH SPATIAL RESOLUTION REMOTELY SENSED ORTHOPHOTO IMAGE
Horizontal Accuracy Orthophoto Image Qualitty Inspection Testing Point
2018/5/16
At present, in the inspection and acceptance of high spatial resolution remotly sensed orthophoto image, the horizontal accuracy detection is testing and evaluating the accuracy of images, which mostl...
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...
Accuracy of Digital Elevation Model according to spatial resolution
Accuracy Digital Elevation Model according spatial resolution
2016/5/23
Digital Elevation Model (DEM) is indispensable for many analyses such as topographic feature extraction, runoff analysis, slope stability analysis and so on. Beforehand such analyses, accuracy of DEM ...
Mapping Riparian Zones over Large Regions from High Spatial Resolution Satellite and Airborne Imagery: Specifications for Operational Mapping
Riparian Zones High Spatial Resolution LiDAR Large Spatial Extents Riparian Condition Operational Mapping
2016/1/25
Riparian zones maintain water quality, support multiple geomorphic processes, contain significant biodiversity and also maintain the
aesthetics of the landscape. Australian state and national governm...
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...