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ASSESSING THE IMPACT OF CANAL NETWORK ON SURFACE WATERLOGGING USING REMOTE SENSING DATASETS IN ROHTAK DISTRICT, HARYANA
Waterlogging Canals Remote Sensing GIS Rohtak
2019/2/27
Remote Sensing is a very reliable and expeditious technique for assessment and mapping of surface waterlogged areas. In this study band ratio based NDWI index (Normalized Difference Water Index) was u...
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...
SPECTRAL-SPATIAL CLASSIFICATION OF HYPERSPECTRAL REMOTE SENSING IMAGES USING VARIATIONAL AUTOENCODER AND CONVOLUTION NEURAL NETWORK
Hyperspectral classification feature extraction spectral channels deep learning
2019/2/28
In this paper, we propose a spectral-spatial feature extraction framework based on deep learning (DL) for hyperspectral image (HSI) classification. In this framework, the variational autoencoder (VAE)...
MULTISPECTRAL PANSHARPENING APPROACH USING PULSE-COUPLED NEURAL NETWORK SEGMENTATION
Pansharpening PCNN Image Fusion Multispectral Imaging Remote Sensing Segmentation
2018/5/14
The paper proposes a novel pansharpening method based on the pulse-coupled neural network segmentation. In the new method, uniform injection gains of each region are estimated through PCNN segmentatio...
A NOVEL DEEP CONVOLUTIONAL NEURAL NETWORK FOR SPECTRAL–SPATIAL CLASSIFICATION OF HYPERSPECTRAL DATA
Hyperspectral Data Classification Three-dimensional Convolution Deep CNN Feature Extraction
2018/5/14
Spatial and spectral information are obtained simultaneously by hyperspectral remote sensing. Joint extraction of these information of hyperspectral image is one of most import methods for hyperspectr...
THE EXTRACTION OF POST-EARTHQUAKE BUILDING DAMAGE INFORMATIOM BASED ON CONVOLUTIONAL NEURAL NETWORK
Earthquake Seismic Damage Information Extraction Deep Learning Convolutional Neural Network
2018/5/11
The seismic damage information of buildings extracted from remote sensing (RS) imagery is meaningful for supporting relief and effective reduction of losses caused by earthquake. Both traditional pixe...
RESEARCH ON THE DIRECT CARBON EMISSION FORECAST OF CHINA'S PROVINCIAL RESIDENTS BASED ON NEURAL NETWORK
Global climate change Residents’ carbon emissions Elman Neural network Forecast China
2018/5/16
Global climate change, which mainly effected by human carbon emissions, would affect the regional economic, natural ecological environment, social development and food security in the near future. It’...
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...
EIGENENTROPY BASED CONVOLUTIONAL NEURAL NETWORK BASED ALS POINT CLOUDS CLASSIFICATION METHOD
EIGENENTROPY CONVOLUTIONAL NEURAL NETWORK ALS POINT CLOUDS CLASSIFICATION METHOD
2018/5/16
The classification of point clouds is the first step in the extraction of various types of geo-information form point clouds. Recently the ISPRS WG II/4 provides a benchmark on 3D semantic labelling, ...
Performance-based fractal fracture model for complex fracture network simulation
Fractal geometry Fractal fracture model Complex fracture network characterization Contributing reservoir volume Refracturing
2018/4/2
The paper presents a novel hydraulic fracturing model for the characterization and simulation of the complex fracture network in shale gas reservoirs. We go beyond the existing method that uses planar...
3D NETWORK ANALYSIS FOR INDOOR SPACE APPLICATIONS
Indoor space 3D modeling network analysis ArcScene geoprocessing model Network Analyst CityEngine
2016/10/14
Indoor space differs from outdoor environments, since it is characterized by a higher level of structural complexity, geometry, as well as topological relations. Indoor space can be considered as the ...
THE UNIFIED LEVELLING NETWORK OF SARAWAK AND ITS ADJUSTMENT
Sarawak precise levelling network least–squares adjustment MoreFix levelling adjustment package
2016/10/14
The height reference network of Sarawak has seen major improvement in over the past two decades. The most significant improvement was the establishment of extended precise leveling network of which is...
Dissecting Proton Delocalization in an Enzyme’s Hydrogen Bond Network with Unnatural Amino Acids
Dissecting Proton Delocalization Enzyme’s Hydrogen Bond Network Unnatural Amino Acids
2016/5/25
Extended hydrogen bond networks are a common structural motif of enzymes. A recent analysis proposed quantum delocalization of protons as a feature present in the hydrogen bond network spanning a tria...
Quantum delocalization of protons in the hydrogen-bond network of an enzyme active site
ab initio path integral molecular dynamics enzyme hydrogen bonding nuclear quantum effects proton delocalization
2016/5/25
Enzymes use protein architectures to create highly specialized structural motifs that can greatly enhance the rates of complex chemical transformations. Here, we use experiments, combined with ab init...
A conserved water-mediated hydrogen bond network defines bosutinib’s kinase selectivity
Humans Water Quinolines Nitriles Aniline Compounds src-Family Kinases Amino Acid Substitution Conserved Sequence Substrate Specificity Hydrogen Bonding
2016/5/25
Kinase inhibitors are important cancer drugs, but they tend to display limited target specificity, and their target profiles are often challenging to rationalize in terms of molecular mechanism. Here ...