搜索结果: 1-15 共查到“工学 high spatial resolution”相关记录29条 . 查询时间(0.109 秒)
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...
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...
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...
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...
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...
Integrating Object-Based Classification and One-Class Support Vector Machines in Classifying a Specific Land Class from High Spatial Resolution Images
Object-Based Classification One-Class Support Vector Machines High Spatial Resolution Imagery
2015/12/17
Remote sensing techniques have been commonly used to map land cover and land use types. For many applications, users may only be interested in a specific land class in an image such as extracting urba...
Accuracy of Lacunarity Algorithms in Texture Classification of High Spatial Resolution Images from Urban Areas
Accuracy Algorithms Texture Classification High Resolution Urban
2015/12/8
Lacunarity based measures can be described as texture recognition approaches that provide a flexible yet theoretically consistent mean of characterizing the morphology of urban spatial patterns across...
USING LINEAR SPECTRAL UNMIXING OF HIGH SPATIAL RESOLUTION AND HYPERSPECTRAL DATA FOR GEOMETRIC-OPTICAL MODELLING
Linear spectral mixing model EO-1 Hyperion QuickBird
2015/9/8
The linear spectral mixing model is a widely used technique in remote sensing to estimate the fractions of several individual surface
components present in an image pixel and the pure reflectance spe...