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COMPARISON OF SUPERVISED CLASSIFICATION TECHNIQUES WITH ALOS PALSAR SENSOR FOR ROORKEE REGION OF UTTARAKHAND, INDIA
Advanced land observing satellite PALSAR Supervised classification Kappa coefficient
2019/2/28
The Advanced Land Observing Satellite (ALOS) is developed by the Japanese Aerospace Exploration Agency (JAXA) which was launched in the year 2006 for the Earth observation and exploration purpose. The...
WEAKLY SUPERVISED SEGMENTATION-AIDED CLASSIFICATION OF URBAN SCENES FROM 3D LIDAR POINT CLOUDS
Classification Segmentation Regularization LiDAR Urban Point Cloud Random Forest
2017/7/12
We consider the problem of the semantic classification of 3D LiDAR point clouds obtained from urban scenes when the training set is limited. We propose a non-parametric segmentation model for urban sc...
USING SUPERVISED DEEP LEARNING FOR HUMAN AGE ESTIMATION PROBLEM
Machine Learning Age Estimation Supervised Deep Learning Active Appearance Model Bio-Inspired Feature Support Vector
2017/6/19
Automatic facial age estimation is a challenging task upcoming in recent years. In this paper, we propose using the supervised deep learning features to improve an accuracy of the existing age estimat...
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...
Semi-Supervised Incremental Learning of Hierarchical Appearance Models
Detection Building Structure, Interpretation Classifi cation Incremental Learning Recognition
2015/12/8
We propose an incremental learning scheme for learning a class hierarchy for objects typically occurring multiple in images. Given oneexample of an object that appears several times in the image, e.g....
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...
Learning Representations for Weakly Supervised Natural Language Processing Tasks
Natural Language word
2015/9/14
Finding the right representations for words is critical for building accurate NLP systems when
domain-specific labeled data for the task is scarce. This article investigates novel techniques fo...
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 ...
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
2015/8/28
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 ...
SEMI-SUPERVISED CLASSIFICATION OF LAND COVER BASED ON SPECTRAL REFLECTANCE DATA EXTRACTED FROM LISS IV IMAGE
Semi-supervised classification Hyperspectral Reflectance
2015/8/28
A methodology is proposed for extracting information on land cover based on hyperspectral reflectance
data derived from satellite image, without supervising with ground truth. The reflectance percent...
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 ...
A Supervised Learning Approach to Acronym Identification
acronym identification supervised learning
2015/8/3
This paper addresses the task of finding acronym-definition pairs in text. Most of the previous work on the topic is about systems that involve manually generated rules or regular expressions. In this...
How to Solve Classification and Regression Problems on High-Dimensional Data with a Supervised Extension of Slow Feature Analysis
Slow feature analysis feature extraction classifi cation regression pattern recognition training graphs nonlinear dimensionality reduction supervised learning high-dimensional data implicitly supervised image analysis
2015/7/10
Supervised learning from high-dimensional data, e.g., multimedia data, is a challenging task. We propose an extension of slow feature analysis (SFA) for supervised dimensionality reduction called grap...