An estimation method for refractive index and size distribution of aerosol using direct and diffuse solar irradiance as well as aureole by means of a modified simulated annealing is proposed. The proposed method is based on simulated annealing modified to acceralate a learning process by using a gradually decreasing oscillation function of temperature of annealing. By using Gauss Seidel model, simulation data of direct and diffuse solar irradiance are generated together with estimated aureole by means of empirical method with experimental data. A comparison between the existing method proposed by P. Romanov et. al. based on linearized inversion method and the proposed method is made. The results show double and tripple improvement of the estimation accuracy for both of aerosol size distribution and refractive index.
Significantly improving the resolution of Ground Penetrating Radar (GPR), is a challenging issue. Such resolution enhancement is necessary for clear imaging of closely buried targets. GPR technology has proved to be very successful in the investigation and detection of buried objects. This paper examines the possibility of applying the super resolution technique MUSIC (Multiple Signal Classification) algorithm in SFCW (Stepped Frequency Continuous Wave) GPR due to its superior performance. Additionally, the conventional FFT (Fast Fourier Transform) has been utilized for a highly precise receiving signal level. The Combined Processing Method (CPM) of time domain response of MUSIC and IFFT (Inverse FFT) has been proposed for the first time to get high resolution and high precision receiving signal level. Results of simulations and experiments show that the proposed method achieves both higher resolution, and a highly precise receiving signal level.
Spaceborne SAR images are combined with vector-based geospatial datasets published by Geographical Survey Institute (GSI) of Japan to discuss their applicability to disaster monitoring. RADARSAT fine mode image taken over Kobe city and JERS-1 SAR image taken over Mt. Iwate with Morioka city have been examined. City-block segments in digital map 2500 (spatial data framework) helps interpretation of RADARSAT fine mode image on urban area. It is difficult to distinguish roads and blocks on urban area of JERS-1 SAR image. SAR image can be used as a shaded map for disaster assessment in mountainous area. Integrating with GIS datasets would increase applicability of SAR imagery.