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High temporal and spactial resolution aerosol retrieval is a difficult task because of the absence of corresponding satellite data. Due to the lack of a shortwave infrared band near 2.1 um aboard on Gaofen-4 instrument, which is critical for determining surface reflectance. In this paper, a new algorithm resolving the problem based on Gaofen-4 that was placed in Geosynchronous (GEO) orbit and Landsat-8...
Aerosol retrieval over urban areas is a difficult task because of the high reflectance of the underlying surface. In this paper, a new aerosol retrieval algorithm based on the spectral analysis of soil and vegetation from spectral library was proposed, the simulated correlation between the normalized difference vegetation index (NDVI) and the surface reflectance of red, blue bands was established...
In this paper, a new aerosol retrieval algorithm based on a method, named statistical segmentation, was proposed. Firstly, the image of Landsat 8 OLI was divided into many segments by the statistical segmentation method based on band 6 and band 7. Then, according to the characteristics of the segmentation, two ways based on the segmented results were used to get the surface reflectance. And then combined...
The retrieval of aerosol over urban area is a difficult task because urban area consists of complex ground surface features which usually have bright surface reflectance. Many aerosol optical thickness (AOT) retrieval algorithms are based on traditional dark dense vegetation (DDV) algorithm which has excellent performance at retrieving aerosol's distribution and properties, but these algorithms are...
This paper developed a method of validation test research of domestic satellites LST products. The experimental data include high resolution landsat8 image, low resolution FY-3B and MOD11A1 LST product. The main steps of the method are as follows: (1) Three different algorithms for retrieving land surface temperature on landsat8 data. Through the comparative analysis of the results, we select an algorithm...
Fine registration is a fundamental step for further application of remote sensing images. Focused on deficiencies in traditional manual registration, this paper presents a new method for automatic fine registration of multi-spectral images. To make the most of image information, the algorithm detects and matches feature points in the selected bands. Then pick up the common control points which contain...
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