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COMPARATIVE STUDY ON DEEP NEURAL NETWORK MODELS FOR CROP CLASSIFICATION USING TIME SERIES POLSAR AND OPTICAL DATA
Deep neural networks CNNs LSTMs ConvLSTMs Crop classification
2019/2/28
Crop classification is an important task in many crop monitoring applications. Satellite remote sensing has provided easy, reliable, and fast approaches to crop classification task. In this study, a c...
SEMANTIC SEGMENTATION OF CONVOLUTIONAL NEURAL NETWORK FOR SUPERVISED CLASSIFICATION OF MULTISPECTRAL REMOTE SENSING
Semantic Segmentation Multi Spectral Remote Sensing Convolutional Neural Network U-net multi-scale image
2018/5/16
Semantic segmentation is a fundamental research in remote sensing image processing. Because of the complex maritime environment, the classification of roads, vegetation, buildings and water from remot...
Testing of the transionospheric radiochannel using data from the global GPS network
total electron content GPS transionospheric radiochannel geomagnetic disturbances space weather
2015/9/17
Using the international ground-based network of two-frequency receivers of the GPS navigation system provides a
means of carrying out a global, continuous and fully-computerized monitoring of phase f...
ON THE USE OF AIRBORNE LASER SCANNING DATA TO VERIFY AND ENRICH ROAD NETWORK FEATURES
LIDAR Surface Parameter Extraction Detection
2015/8/13
High-resolution digital terrain models (DTM) provide accurate descriptions of our surrounding with respect to its 2.5D shape.
Besides that existing cartographic databases provide detailed 2D represe...
Cascaded multiplexed optical link on a telecommunication network for frequency dissemination
Cascaded multiplexed optical link telecommunication network frequency dissemination
2010/10/21
We demonstrate a cascaded optical link for ultrastable frequency dissemination comprised of two compensated links of 150 km and a repeater station. Each link includes 114 km of Internet fiber simultan...