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very high resolution (VHR) remote sensing images

Aircraft Identification in High Resolution Remote Sensing Images using Shape Analysis

Aircraft Identification in High Resolution Remote Sensing Images using Shape Analysis

... satellite images and it has many applications in practice such as airfield dynamic surveillance and ...with high resolution remote sensing images is challenging ...

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A Novel Registration Method for High Resolution Remote Sensing Images Based on JSEG and NMI

A Novel Registration Method for High Resolution Remote Sensing Images Based on JSEG and NMI

... multi-temporal high resolution remote sensing ...directional high frequency sub-bands has direct impacts on registration accuracy, making the algorithm very fragile, especially ...

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A new approach for Classifying land development in High-Resolution Remote Sensing Images

A new approach for Classifying land development in High-Resolution Remote Sensing Images

... of high-resolution remote sensing images covering different scenes, our objective is to simultaneously detect built-up regions from ...from images, the built-up regions would be ...

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A comparative study of noise removal from High Resolution Remote Sensing Images

A comparative study of noise removal from High Resolution Remote Sensing Images

... four high resolution remote sensing images acquired by different satellites ...test images are contaminated by four types of noise: Salt and Pepper noise (SPN), Shot Noise ...

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A System Which Supports Shadow Detection and Shadow Removal for High Resolution Remote Sensing Images

A System Which Supports Shadow Detection and Shadow Removal for High Resolution Remote Sensing Images

... urban high resolution remote sensing ...urban high- resolution remote sensing images and can effectively restore shadows with a rate of over ...

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An Enhanced Framework for Change Detection in Very High Resolution Remote Sensing Images

An Enhanced Framework for Change Detection in Very High Resolution Remote Sensing Images

... In [ ] authors introduce a framework to detect the semantic changes in the VHR images by removing the false changes. This framework depends on extracting four descriptors (descriptor is considered to be any ...

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Refining Land-Cover Classification Maps Based on Dual-Adaptive Majority Voting Strategy for Very-High-Resolution Remote Sensing Images

Refining Land-Cover Classification Maps Based on Dual-Adaptive Majority Voting Strategy for Very-High-Resolution Remote Sensing Images

... proposed an object-based spatial feature called the object correlative index. Furthermore, various mathematical morphological methods have been developed to describe the structural features and complement the spectral ...

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Detection and Removal of Shadow Using Very High Resolution Remote Sensing Images

Detection and Removal of Shadow Using Very High Resolution Remote Sensing Images

... E. NOISE REMOVAL: The binary image may be contains noise in the image. Basically this noise is due to the small objects such as cars, trees etc. in the image. The problem in removing noise from binary image is due to ...

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Road Vector Map Change Monitoring Based on High Resolution Remote Sensing Images

Road Vector Map Change Monitoring Based on High Resolution Remote Sensing Images

... original high resolution remote sensing image was cut into seg- ...View high resolution image of certain parts in the ...

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Learning Multi Modality Features for Scene Classification of High Resolution Remote Sensing Images

Learning Multi Modality Features for Scene Classification of High Resolution Remote Sensing Images

... Generally speaking, both engineered low-level methods and deep model based methods have their own superiority. The former has advantage in classifying the simple geospatial objects such as the farm land, airports and so ...

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Advances in Scene Classification of Remotely Sensed High Resolution Images and the Existing Datasets

Advances in Scene Classification of Remotely Sensed High Resolution Images and the Existing Datasets

... sensed images has shown a significant improvement in the recent years as it is used in various applications such as urban planning, urban mapping, management of natural resources, precision agriculture, detecting ...

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A Region Segmentation Algorithm for Remote Sensing Imaging Combined with Multi-feature and Multi-band

A Region Segmentation Algorithm for Remote Sensing Imaging Combined with Multi-feature and Multi-band

... from high resolution remote sensing images ...of high-resolution remote sensing image require more and more complex image analysis ...of ...

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Advanced Techniques for the Classification of Very High Resolution and Hyperspectral Remote Sensing Images

Advanced Techniques for the Classification of Very High Resolution and Hyperspectral Remote Sensing Images

... of very high resolution images With the availability of VHR images acquired by satellite multispectral scanners, it is possi- ble to acquire detailed information on the shape and the ...

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A Review of Geological Applications of High-spatial- resolution Remote Sensing Data

A Review of Geological Applications of High-spatial- resolution Remote Sensing Data

... of high-resolution remote sensing images, thus enhancing their application ...and remote sensing image recognition ...employing high- spatial-resolution ...

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Research on an Edge Detection Algorithm of Remote Sensing Image Based on Wavelet Enhancement and Morphology

Research on an Edge Detection Algorithm of Remote Sensing Image Based on Wavelet Enhancement and Morphology

... of high resolution remote sensing images, a novel edge detection algorithm based on wavelet enhancement and mathematical morphology is ...the remote sensing image is ...

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Innovative methods for the reconstruction of new generation satellite remote sensing images

Innovative methods for the reconstruction of new generation satellite remote sensing images

... Recently, very high resolution (VHR) satellite images opened a new era in the remote sensing ...spatial resolution, new analysis, classification and change detection ...

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Validation of High Density Airborne LiDAR Based Feature Extraction Using Very High Resolution Optical Remote Sensing Data

Validation of High Density Airborne LiDAR Based Feature Extraction Using Very High Resolution Optical Remote Sensing Data

... and Remote Sensing (ASPRS) ...MSI images at 46 cm and 185 cm ground sample distance, which were re- sampled to 50 cm and 200 cm, ...PAN images, which were spatially mosaicked to generate a ...

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Vehicle Detection In Remote Sensing Images

Vehicle Detection In Remote Sensing Images

... using high resolution UAV ...preprocessing, sensing, feature extraction, training and ...the images are thresholded iteratively in multiple color spaces to extract the candidate regions of ...

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Dynamic changes of wetland resources based on MODIS and Landsat image data fusion

Dynamic changes of wetland resources based on MODIS and Landsat image data fusion

... the remote sensing technology has been widely employed on wetland investigation and identification, changeable weather conditions especially cloud interference are the main barrier to acquire clear ...

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A NOVEL APPROACH FOR FUSION OF LOW RESOLUTION MULTISPECTRAL IMAGES IN REMOTE SENSING

A NOVEL APPROACH FOR FUSION OF LOW RESOLUTION MULTISPECTRAL IMAGES IN REMOTE SENSING

... admired remote sensing area called pan sharpening, which consists in the fusion of a low resolution multispectral image and a high-resolution panchromatic ...top-class images ...

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