scholarly journals Microwave remote sensing of physically buried objects in the Negev desert: Implications for subsurface Martian exploration

2003 ◽  
Vol 108 (E4) ◽  
Author(s):  
Julian Daniels
1994 ◽  
Vol 40 (1) ◽  
pp. 43-47
Author(s):  
P K Mukherjee ◽  
S K Sharma ◽  
K P Singh

This paper deals the combination of image analysis and EM approach to predict the shape of the cavity detection for satellite remote sensing at 1GHz to 3GHz. The reconstruction of the shape is based on the mean image strength with measured reflectivity at any depth and then with image processing techniques deconvolution. For this purpose, a Vector Network Analyzer has been used along with a Ultra Wide Band antenna, using a stand it is mounted on the sand pit and when operated it moves over it.For a shallow buried object detection system based on image processing and electromagnetic theory, an algorithm has been proposed. The buried utility form is calculated for any depth that is important for the returned echo. Using image analysis and microwave remote sensing techniques to identify the shape of the various shallow buried objects, this approach will be quite helpful in developing an automatic satellite data based information system.


2021 ◽  
Vol 13 (4) ◽  
pp. 604
Author(s):  
Donato Amitrano ◽  
Gerardo Di Martino ◽  
Raffaella Guida ◽  
Pasquale Iervolino ◽  
Antonio Iodice ◽  
...  

Microwave remote sensing has widely demonstrated its potential in the continuous monitoring of our rapidly changing planet. This review provides an overview of state-of-the-art methodologies for multi-temporal synthetic aperture radar change detection and its applications to biosphere and hydrosphere monitoring, with special focus on topics like forestry, water resources management in semi-arid environments and floods. The analyzed literature is categorized on the base of the approach adopted and the data exploited and discussed in light of the downstream remote sensing market. The purpose is to highlight the main issues and limitations preventing the diffusion of synthetic aperture radar data in both industrial and multidisciplinary research contexts and the possible solutions for boosting their usage among end-users.


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