• No results found

land cover classification image

Detection of the urban expansion over agricultural land using LULC change detection techniques:case study El-Mahalla el-koubra City-Egypt

Detection of the urban expansion over agricultural land using LULC change detection techniques:case study El-Mahalla el-koubra City-Egypt

... cover changes. Since launching of the first Landsat satellite in 1972, till now, a wide range of remote sensing data with different spectral, spatial, radiometric and temporal resolutions are available[10].This is ...

12

Land Cover Classification Using Sentinel 1 SAR Data

Land Cover Classification Using Sentinel 1 SAR Data

... Various classification methods have been implemented for the land use/land cover classification of the study area which include both unsupervised(Isodata, K-means) and ...

9

Fast Landform Position Classification to Improve the Accuracy of Remote Sensing Land Cover Mapping

Fast Landform Position Classification to Improve the Accuracy of Remote Sensing Land Cover Mapping

... imagery, land cover classification and mapping by high-resolution remote sensing images is becoming an increasingly useful technique for providing a large area of detailed land-cover ...

11

Optical Elevation Data Co Registration and Classification Based Height Normalization for Building Detection in Stereo VHR Images

Optical Elevation Data Co Registration and Classification Based Height Normalization for Building Detection in Stereo VHR Images

... classified image objects based on a pixel-based ...ject-based classification software package is not available and noise-free results are ...the image objects into two dif- ferent classes: terrain ...

17

Land Cover Classification using Sentinel-1 Radar Mission Interferometry

Land Cover Classification using Sentinel-1 Radar Mission Interferometry

... acquiring land images, interpretation and classification of ...of classification which labels every pixel in an image to particular spectral ...of image classification is ...

79

Decadal variations of land use and land cover classification in Thanjavur Taluk (India)

Decadal variations of land use and land cover classification in Thanjavur Taluk (India)

... to image processing analysis and at the end product gives the results of pixel-by-pixel ...the land use and land cover such as water bodies, river nd, settlement, Land used for ...

8

Deep learning for land cover and land use classification

Deep learning for land cover and land use classification

... of image patch size might be able to detect small features by multiple CNNs by varying the contextual filter size as adopted in Längkvist et ...the image contextual size but strengthens the spatial feature ...

267

Haider, Khaled
  

(2011):


	Using Spatial Data for Geo-Environmental Studies.


Dissertation, LMU München: Fakultät für Geowissenschaften

Haider, Khaled (2011): Using Spatial Data for Geo-Environmental Studies. Dissertation, LMU München: Fakultät für Geowissenschaften

... different land use/land cover classes are derived from remote sensing data (classification of a cloud-free LANDSAT 7 ETM+ image using the supervised classification ...

197

Evaluation of the performance of SAR and SAR-optical fused dataset for crop discrimination

Evaluation of the performance of SAR and SAR-optical fused dataset for crop discrimination

... study, classification of the land use/cover using satellite imageries is a very challenging ...of image features, selection of optimum hyperparameters, size of training samples are also plays ...

9

Land Cover Classification of Hail—Saudi Arabia Using Remote Sensing

Land Cover Classification of Hail—Saudi Arabia Using Remote Sensing

... Agricultural land change is observed clearly in Landsat images (Figure ...desert land continued until ...MODIS image classification are estimated at 9500 ha; 37,700 ha; 69,400 ha; and 139,300 ...

8

Land Cover Classification using Object-Based Image Analysis of SPOT-6 Imagery for Land Cover and Forest Monitoring in Nagan Raya, Aceh – Indonesia

Land Cover Classification using Object-Based Image Analysis of SPOT-6 Imagery for Land Cover and Forest Monitoring in Nagan Raya, Aceh – Indonesia

... The maps from Ministry of Forestry (MoFor) at national scale that provide 23 landcover classes are primary dryland forest, secondary dryland forest, primary mangrove forest, secondary mangrove forest, primary swamp ...

6

Towards a Strategy to Implement the China Wetland Mapping Using Landsat TM

Towards a Strategy to Implement the China Wetland Mapping Using Landsat TM

... wetland classification preformed significantly better than unsupervised classification at multiple sites in the northeast United ...a land cover classification map ...

18

Land Cover Classification Using Hidden Markov Models

Land Cover Classification Using Hidden Markov Models

... satellite image classification has been ...(i.e., classification), this is majorly due to their ability to model contextual dependencies and noise absorption ...The land cover is an ...

8

A Novel Method for Remotely Sensed Hyperspectral Image Classification
Based on Convolutional Neural Network

A Novel Method for Remotely Sensed Hyperspectral Image Classification Based on Convolutional Neural Network

... Hyperspectral image classification is the process of assigning land cover classes to ...landscape, image processing and classification approaches affect the success of ...in ...

10

Novel Object-Based Filter for Improving Land-Cover Classification of Aerial Imagery with Very High Spatial Resolution

Novel Object-Based Filter for Improving Land-Cover Classification of Aerial Imagery with Very High Spatial Resolution

... processing image, and the parameter of SVM was optimized through five-fold cross ...original image object was generated through multi-scale segmentation based on the parameters scale = 20, shape = ...each ...

14

Random Forest Algorithm for Land Cover Classification

Random Forest Algorithm for Land Cover Classification

... used dynamic learning neural networks for land cover classification of multispectral imagery. Foody [4] has used multi-layer perceptron (MLP) and Radial Basis Function Networks (RBN) for supervised ...

7

Enhanced Urban Sprawl Monitoring over the Entire District of Rome through Joint Analysis of ALOS AVNIR 2 and SENTINEL 2A Data

Enhanced Urban Sprawl Monitoring over the Entire District of Rome through Joint Analysis of ALOS AVNIR 2 and SENTINEL 2A Data

... for land use ...of land cover classes and facilitating the ...of land use change ...different image processing, analysis and classification methods are available in order to ...

12

Remote Sensing / An object-based semantic classification method for high resolution remote sensing imagery using ontology

Remote Sensing / An object-based semantic classification method for high resolution remote sensing imagery using ontology

... extract land cover information while interpreting HRS remote sensing images at the regional level ...deeper image understanding and a better image annotation in order to furnish retrieval ...

21

Hybrid Image Classification Technique for Land-Cover Mapping in the Arctic Tundra, North Slope, Alaska

Hybrid Image Classification Technique for Land-Cover Mapping in the Arctic Tundra, North Slope, Alaska

... an image, while neglecting the spatial arrangement of the ...based classification techniques in extracting urban features such as roads, houses etc from high resolution imagery (O'Brien, 2003; Jackson et ...

196

Wetland Assessment and Monitoring Using Image Processing Techniques: A Case Study of Ranchi, India

Wetland Assessment and Monitoring Using Image Processing Techniques: A Case Study of Ranchi, India

... Supervised classification is a method in which the ana- lyst defines small areas, called training sites, on the im- age which are representative of each desired land cover ...in land use and ...

6

Show all 10000 documents...

Related subjects