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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...
There is an increasing amount of open Earth observation (EO) data available, offering solutions to map, assess and monitor natural resources and to obtain answers to global and local societal challeng...
The accuracy of supervised image classification is highly dependent upon several factors such as the design of training set (sample selection, composition, purity and size), resolution of input imager...
In Remote Sensing the various bands of multispectral data have not the same relevance in order to identify pixels inside a specific land cover class. The band algebra combines different images in orde...
For SAR education a combination of theoretical lectures and practical image analysis is advisable. Using podcasts for assisting the dissemination of background knowledge and retail video gaming consol...
The current remote sensing experimental teaching lacks excellent teaching software. Considering this problem, a systematic design thought about remote sensing curriculum experimental teachingsoftware ...
In preparing for Olympic competition, every detail is important. Athletes and coaches are not only interested in the physiological information, but also interested in the positional information. Physi...
The backpropagation artificial neural network (ANN) is a well-known and widely applied mathematical model for remote sensing applications for pattern recognition, approximation and mapping of non-line...
Feature extraction plays a key role in hyperspectral images classification. Using unlabeled samples, often unlimitedly available, unsupervised and semisupervised feature extraction methods show better...
Recent dramatic events have brought to the forefront the debate on how to protect, safeguard and document Cultural Heritage in conflict areas. Heritage places have become battlefields, sources of illi...
The history of education and training efforts in ISPRS dates back to the early days of its formation in 1910, when it was realised that education and training were key components of the development ...
An innovative geospatial training and awareness program has been initiated by a consortium led by Geospatial21 and the International Center for Remote Sensing Education, to include an apprenticeship...
Changes in technology and social-economic conditions have influence on the education and training in photogrammetry and related fields. From a European point of view the present situation is analyze...
Computer Assisted Remote Sensing Training software - CARST 1.0 was developed by the GeoInfo Ltd. for hands-on training in remote sensing and GIS. The CARST 1.0 is composed of the WinASEAN 5.0 Edu, R...
Most supervised image classification methods need pure pixels for training, which complicates training when pure pixels are scarce. In these cases, it can be difficult to obtain a sufficiently large ...

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