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remote sensing (cloud)

Fusion of heterogeneous remote sensing images by credibilist methods

Fusion of heterogeneous remote sensing images by credibilist methods

... 4.5. Conclusion 4.5 Conclusion In this chapter, a new credal fusion algorithm has been proposed that aims at integrating comple- mentary information derived from optical and radar remote sensing data for ...

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Orfeo ToolBox: open source processing of remote sensing images

Orfeo ToolBox: open source processing of remote sensing images

... Optical remote sensing from space in the reflective range of the optical domain is a powerful tool for studying the state and the evolution of land ...of remote sensing image time series ...

9

Conditioning Stochastic Rainfall Replicates on Remote Sensing Data

Conditioning Stochastic Rainfall Replicates on Remote Sensing Data

... Conditioning Stochastic Rainfall Replicates on Remote Sensing Data Rafał Wójcik, Dennis McLaughlin, Alexandra G. Konings, and Dara Entekhabi, Senior Member, IEEE Abstract—Temporally and spatially variable ...

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Remote Sensing and Cropping Practices: A Review

Remote Sensing and Cropping Practices: A Review

... (RMSE < 0.81 cm, bias < 0.48 cm), suggesting that developing detection methods for the estimation of tillage changes may be possible. Still, several issues challenge regional to global scale remote ...

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Advances in remote sensing of cultivated landscapes at LISAH

Advances in remote sensing of cultivated landscapes at LISAH

... watershed. Remote Sensing of Environment, 2015, 6 (115), 1326-1340 Validation at the plot scale against eddy covariance ETR measurements (sites 6 and 7) and against ETR outputs of the HYDRUS-1D water ...

2

Fully Convolutional Neural Networks For Remote Sensing Image Classification

Fully Convolutional Neural Networks For Remote Sensing Image Classification

... This work addresses the problem of remote sensing image classification with convolutional neural networks. CNNs are mostly used to categorize images, hence new architectures must be designed for dense ...

5

Use of passive microwave remote sensing to monitor soil moisture

Use of passive microwave remote sensing to monitor soil moisture

... Abstract - Surface soil moisture is a key variable to describe the water and energy exchanges at the land surface/atmos- phere interface. However, soil moisture is highly variable both spatially and temporally. Passive ...

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Learning approaches for large-scale remote sensing image classification

Learning approaches for large-scale remote sensing image classification

... Chapter 4 Learning iterative processes to enhance classification maps Convolutional neural networks have become one of the most studied methods for pix- elwise image classification, both in natural images and in ...

159

Polygonization of Remote Sensing Classification Maps by Mesh Approximation

Polygonization of Remote Sensing Classification Maps by Mesh Approximation

... 6. CONCLUDING REMARKS We presented a mesh approximation algorithm to polygonize remote sensing classification maps. The polygonal objects are more accurate than the current methods used in the GIS ...

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Retrieval of Remote Sensing Images with Pattern Spectra Descriptors

Retrieval of Remote Sensing Images with Pattern Spectra Descriptors

... Having established a multiscale and effective LPS based content based description solution, future work will focus on exploiting the multi-variate structure of remote sensing images, which nowadays ...

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Remote Sensing and Mineral Resources

Remote Sensing and Mineral Resources

... A N Hawu Hede et al., 2015, A new vegetation index for detecting vegetation anomalies due to mineral deposits with application to a tropical forest area, Remote Sensing of Environment, V[r] ...

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A Novel Data Compression Techniques for Remote Sensing Data Mining

A Novel Data Compression Techniques for Remote Sensing Data Mining

... However, Pattern Recognition techniques have to cope with new problems when information have to be extracted from large databases of remote sensing images. Feature ex- traction/selection techniques and ...

5

Recent Developments from Attribute Profiles for Remote Sensing Image Classification

Recent Developments from Attribute Profiles for Remote Sensing Image Classification

... V. C ONCLUSION We have conducted a survey on recent developments from morphological attribute profiles in the context of remote sensing image classification. Three key components have been focused including ...

7

Autonomy based modeling for the simulation of ocean remote sensing

Autonomy based modeling for the simulation of ocean remote sensing

... III. R EFLECTIVITY MAP To simulate dynamical aspects of microwave remote sensing for a maritime environment is a complementary approach to more conventionnal static simulations. With these last classical ...

8

Performance Prediction of Grid-Connected Photovoltaic Systems Using Remote Sensing

Performance Prediction of Grid-Connected Photovoltaic Systems Using Remote Sensing

... Conclusion Delivering secure and reliable power while managing uncertainties related to fluctuations and intermittency of the energy source as well as to the full energy conversion process is one of the major challenges ...

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Full and Compact Polarimetric Radar Interferometry for Vegetation Remote Sensing

Full and Compact Polarimetric Radar Interferometry for Vegetation Remote Sensing

... European Remote Sensing satellites launched by ESA in 1991 and 1995 respectively, that allowed the demonstration of repeat-pass interferometry ...Earth Remote Sensing Satellite launched in ...

196

Drought risk assessment in pasture arid Morocco through remote sensing

Drought risk assessment in pasture arid Morocco through remote sensing

... During the last three decades, Morocco has experienced several stern and extended episodes of drought that severely affected pasture production. To cope with this phenomenon, the policy makers have put emphasis on a ...

8

Multifractal analysis for multivariate data with application to remote sensing

Multifractal analysis for multivariate data with application to remote sensing

... Abstract Texture characterization is a central element in many image processing applications. Texture analysis can be embedded in the mathematical framework of multifractal analysis, enabling the study of the ...

211

Complex wavelet regularization for solving inverse problems in remote sensing

Complex wavelet regularization for solving inverse problems in remote sensing

... ABSTRACT Many problems in remote sensing can be modeled as the min- imization of the sum of a data term and a prior term. We pro- pose to use a new complex wavelet based prior and an effi- cient scheme to ...

5

Optimal Transport for Data Fusion in Remote Sensing

Optimal Transport for Data Fusion in Remote Sensing

... 3 MMRS/University of Zurich, Zurich, Switzerland 4 LETG/CNRS, Rennes, France ABSTRACT One of the main objective of data fusion is the integration of several acquisition of the same physical object, in order to build a ...

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