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2017年影像与数据融合国际研讨会（The 2017 International Workshop on Image and Data Fusion）
2017年 影像与数据融合 国际研讨会
2017/4/26
With increasing amounts of data collected from satellite, airborne, and ground based imaging systems, image and data fusion techniques are gaining more and more importance. By the integration of multi...
The 2017 International Workshop on Image and Data Fusion
The 2017 International Workshop Image and Data Fusion
2017/3/29
With increasing amounts of data collected from satellite, airborne, and ground based imaging systems, image and data fusion techniques are gaining more and more importance. By the integration of multi...
FUSION OF LASER ALTIMETRY DATA WITH DEMS DERIVED FROM STEREO IMAGING SYSTEMS
Ice Sheet Surface Elevation Changes Fusion System Mass Balance Changes
2016/11/30
During the last two decades surface elevation data have been gathered over the Greenland Ice Sheet (GrIS) from a variety of different sensors including spaceborne and airborne laser altimetry, such as...
CLASSIFICATION OF CROPLANDS THROUGH FUSION OF OPTICAL AND SAR TIME SERIES DATA
Multi-temporal Data fusion Landsat 5 Radarsat-1 Machine learning Crop classification Paddy rice index
2016/11/24
Many satellite sensors including Landsat series have been extensively used for land cover classification. Studies have been conducted to mitigate classification problems associated with the use of sin...
THE OPTIMIZED BLOCK-REGRESSION-BASED FUSION ALGORITHM FOR PANSHARPENING OF VERY HIGH RESOLUTION SATELLITE IMAGERY
Remote sensing Satellite imagery Very high resolution Image fusion
2016/11/24
Pan-sharpening of very high resolution remotely sensed imagery need enhancing spatial details while preserving spectral characteristics, and adjusting the sharpened results to realize the different em...
REMOTE SENSING IMAGE FUSION USING ICA AND OPTIMIZED WAVELET TRANSFORM
remote sensing data fusion multispectral image ICA wavelet transform
2016/11/23
In remote-sensing image processing, fusion (pan-sharpening) is a process of merging high-resolution panchromatic and lower resolution multispectral (MS) imagery to create a single high-resolution colo...
OBJECT-ORIENTED CHANGE DETECTION FOR REMOTE SENSING IMAGES BASED ON MULTI-SCALE FUSION
multi-scale segmentation object features fuzzy fusion decision level fusion
2016/11/23
In the process of object-oriented change detection, the determination of the optimal segmentation scale is directly related to the subsequent change information extraction and analysis. Aiming at this...
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...
FAST RADIOMETRY GUIDED FUSION OF DISPARITY IMAGES
Disparity fusion multi-view stereo real-time stereo machine vision photo-consistency
2016/7/27
Previous work on disparity map fusion has mostly focused on geometric or statistical properties of disparity maps. Since failure of stereo algorithms is often consistent in many frames of a scene, it ...
APPLICATIONS OF 2DPCA IN REMOTE SENSING IMAGE FUSION
Image Fusion Remote Sensing 2DPCA L2DPCA D2DPCA
2016/3/17
2DPCA is introduced in remote sensing image fusion, and three forms of 2DPCA-based remote sensing image fusion method are proposed according to the different evaluation methods of the projectionvector...
DECISION FUSION FOR THE UNSUPERVISED CHANGE DETECTION OF MULTITEMPORAL SAR
SAR Unsupervised change detection Information fusion Fuzzy sets theory
2016/1/3
The unsupervised change detection of multitemporal SAR usually can get different results through different threshold selection algorithms. It is hard to determine what kinds of results are the best. I...
A FUSION ALGORITHM OF HIGH SPATIAL AND SPECTRAL RESOLUTION IMAGES BASED ON ICA
ICA Transform image fusion multiresolution analysis
2015/12/31
Independent component analysis (ICA) is a recently developed linear data analysis method. By using ICA method, the correlation and redundancy of multispectral images can be eliminated. In detail, our ...
FRAMELET-BASED MULTIRESOLUTION IMAGE FUSION WITH AN IMPROVED INTENSITY-HUE-SATURATION TRANSFORM
Satellite remote sensing Pan-sharpening Intensity-Hue-Saturation transform Wavelets Framelets IKONOS imagery
2015/12/31
The fusion of the panchromatic (PAN) image with multispectral (MS) images is a very useful tool for remote sensing applications that require both high-spatial and high-spectral resolution. A hybrid fu...
A REGION-BASED TECHNIQUE FOR FUSION OF HIGH RESOLUTION IMAGES USING MEAN SHIFT SEGMENTATION
Image processing Sharpening Image understanding Fusion Geography
2015/12/31
This paper describes a region-based technique for fusion of high-resolution images. In this technique, mean shift segmentation is adopted to extract the features for high resolution image as a substit...
A FUSION METHOD OF SAR AND OPTICAL IMAGES FOR URBAN OBJECT EXTRACTION
Satellite remote sensing Sharpening Image understanding Fusion Land cover
2015/12/31
A new image fusion method of SAR, Panchromatic (Pan) and multispectral (MS) data is proposed. First of all, SAR texture is extracted by ratioing the despeckled SAR image to its low passapproximation, ...