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BUILDING CLASSIFICATION OF VHR AIRBORNE STEREO IMAGES USING FULLY CONVOLUTIONAL NETWORKS AND FREE TRAINING SAMPLES
Building Classification VHR Airborne Stereo Images FCN Base Map Mislabels Free Training Samples Fine Tuning Atrous Convolution
2018/11/9
Semantic segmentation, especially for buildings, from the very high resolution (VHR) airborne images is an important task in urban mapping applications. Nowadays, the deep learning has significantly i...
CLOUD REMOVAL FROM SENTINEL-2 IMAGE TIME SERIES THROUGH SPARSE RECONSTRUCTION FROM RANDOM SAMPLES
Sentinel-2 Clouds Image Time Series Image processing Pre-processing
2016/7/27
In this paper we propose a cloud removal algorithm for scenes within a Sentinel-2 satellite image time series based on synthetisation of the affected areas via sparse reconstruction. For this purpose,...
UNLABELED SELECTED SAMPLES IN FEATURE EXTRACTION FOR CLASSIFICATION OF HYPERSPECTRAL IMAGES WITH LIMITED TRAINING SAMPLES
Hyperspectral images feature extraction limited training samples unlabeled samples selection supervised classification
2016/1/15
Feature extraction plays a key role in hyperspectral images classification. Using unlabeled samples, often unlimitedly available, unsupervised and semisupervised feature extraction methods show better...
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...
From point samples to surfaces-on meshing and alternatives
Laser scanning Point Cloud Surface Modelling Visualization
2015/8/24
We have developed an algorithm to compute a suitable surfel representation directly from the raw laser scanner data. This results in a speedy and fully automated procedure for surface reconstruction. ...
Measurement of Shrinkage In Concrete Samples By Using Digital photogrammetric Methods
Calibration Close Range Adjustment
2015/7/14
This paper shows the use of digital photogrammetry for measurement of shrinkage in concrete sample (4x4x22 cm) during the hydration
process. A vision system consist of two digital video cameras was e...
MAP SAMPLES TO HELP GI USERS SPECIFY THEIR NEEDS.
SHAPE DETECTION OF STRUCTURAL CHANGES IN LONG TIME-SPAN AERIAL IMAGE SAMPLES BY NEW SALIENCY METHODS
Change detection Saliency points Active Contours Harris corner function Aerial photos
2014/6/12
The paper presents a novel, theoretically well-based methodology to find changes in remote sensing image series. The proposed method finds changes in images scanned with a long time-interv...