Support Vector Regression for Retrieval of Soil Moisture Using Bistatic Scatterometer Data at X-Band

Year: 2015 Volume: 9 Issue: 10 1193 - 1196 Pages

• Authors:
• Dileep Kumar Gupta
• Rajendra Prasad
• Pradeep Kumar
• Varun Narayan Mishra
• Ajeet Kumar Vishwakarma
• Prashant Kumar Srivastava

Abstract: An approach was evaluated for the retrieval of soil moisture of bare soil surface using bistatic scatterometer data in the angular range of 200 to 700 at VV- and HH- polarization. The microwave data was acquired by specially designed X-band (10 GHz) bistatic scatterometer. The linear regression analysis was done between scattering coefficients and soil moisture content to select the suitable incidence angle for retrieval of soil moisture content. The 250 incidence angle was found more suitable. The support vector regression analysis was used to approximate the function described by the input output relationship between the scattering coefficient and corresponding measured values of the soil moisture content. The performance of support vector regression algorithm was evaluated by comparing the observed and the estimated soil moisture content by statistical performance indices %Bias, root mean squared error (RMSE) and Nash-Sutcliffe Efficiency (NSE). The values of %Bias, root mean squared error (RMSE) and Nash-Sutcliffe Efficiency (NSE) were found 2.9451, 1.0986 and 0.9214 respectively at HHpolarization. At VV- polarization, the values of %Bias, root mean squared error (RMSE) and Nash-Sutcliffe Efficiency (NSE) were found 3.6186, 0.9373 and 0.9428 respectively.

• Keywords:
• Bistatic scatterometer
• soil moisture
• support vector regression
• RMSE
• %Bias
• NSE.

Panoramic Sensor Based Blind Spot Accident Prevention System

Year: 2009 Volume: 3 Issue: 1 24 - 30 Pages

• Authors:
• Rajendra Prasad Mahapatra
• K. Vimal Kumar

Abstract: There are many automotive accidents due to blind spots and driver inattentiveness. Blind spot is the area that is invisible to the driver's viewpoint without head rotation. Several methods are available for assisting the drivers. Simplest methods are — rear mirrors and wide-angle lenses. But, these methods have a disadvantage of the requirement for human assistance. So, the accuracy of these devices depends on driver. Another approach called an automated approach that makes use of sensors such as sonar or radar. These sensors are used to gather range information. The range information will be processed and used for detecting the collision. The disadvantage of this system is — low angular resolution and limited sensing volumes. This paper is a panoramic sensor based automotive vehicle monitoring..

• Keywords:
• Panoramic sensors
• Blind spot
• Convex lens
• Computer Vision
• Sonar.