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COMBINED SUPERVISED CLASSIFICATION METHODS IN REMOTE SENSING FOR THE EVALUATION OF FOREST DYNAMICS ALONG THE SLOPES OF MOUNT CAMEROON
Mount Cameroon Remote Sensing Forest cover Lava flow National Advanced School of Engineering
2015/12/29
The Mount Cameroon forests risk being disappeared. This threat results from aspects such as lava destruction, the creation of vast plantations, farms and extension of settlements. Being 4095m high fac...
Supervised classification of water regions from lidar data in the Wadden Sea using a fuzzy logic concept
lidar laser scanning classification fuzzy logic water
2015/11/10
The Wadden Sea is an almost untouched area with a size of about 7300 km2 along the German, Dutch and Danish coast. Because of tide the area is flooded two times a day, creating a very special and sens...
MEASURING THE QUALTITY OF SAMPLES IN THE SUPERVISED CLASSIFCATION OF REOTELY SENSED IMAGERY
Supervised classification measuring the sample quality rough set
2015/9/28
In the supervised classification process of remotely sensed imagery, the quantity of samples is one of the important factors affecting the accuracy of the image classification as well as the keys used...
A SUPERVISED CLASSIFICATION APPROACH TOWARDS QUALITY SELF-DIAGNOSIS OF 3D BUILDING MODELS USING DIGITAL AERIAL IMAGERY
Quality Self-diagnosis Consistency Image-based measures Performance evaluation Classification 3D City Models
2015/8/31
In the context of 3D building model production or updating, the models have to be manually checked one by one by a human operator in order to ensure their quality. In this paper, we investigate a new ...
SUPERVISED AND FOREST TYPE-SPECIFIC MULTI-SCALE SEGMENTATION FOR A ONE-LEVEL-REPRESENTATION OF SINGLE TREES
Segmentation LiDAR object-based laser scanning crown delineation region growing OLR region-specific segmentation
2015/8/19
In this paper a supervised approach for the object building / segmentation process utilizing a priori knowledge about the specific scale domain of the target features is proposed. One premise was that...
A SELF-SUPERVISED APPROACH FOR FULLY AUTOMATED URBAN LAND COVER CLASSIFICATION OF HIGH-RESOLUTION SATELLITE IMAGERY
Self-supervised classification high-resolution satellite imagery urban land cover feature extraction
2015/8/3
Commercially available high-resolution satellite imagery from sensors such as IKONOS and QuickBird are important data sources for a variety of urban area applications including infrastructure feature ...
Practical example for use of the supervised vicarious calibration (SVC) method on multisource hyperspectral imagery data – ValCalHyp airborne hyperspectral campaign under the EUFAR framework
Unmixing Feature-extraction L1/2 nonnegative matrix Orthogonal matching pursuit Quantitative target detection Hyperspectral imagery
2014/9/29
A novel approach for radiometric calibration and atmospheric correction of airborne hyperspectral (HRS) data, termed supervised vicarious calibration (SVC) was proposed by Brook and Ben-Dor in 2010. T...
semi-supervised classification based on gauss mixture model for remote imagery
Virtual Globe Remote Sensing Image Thematic Information Semi-Supervised Classification Gauss Mixture Model EM algorithms
2016/4/11
Virtual globes support users with remote images from multiple sources, and support data analysis, information extraction and even knowledge discovery. But when extracting thematic information, those r...