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Remote sensing imagery derived from different sensors has different crop identification capability. due to the different spatial and temporal resolution, availability of certain spectral bands. Landsat OLI and RapidEye provide an important part of data sources for agricultural monitoring with a relative long historic records. As the availability of the data from these two sensors is totally different,...
In this paper, a mixed formation of satellites and space debris is proposed to solve debris cleaning problem. The relative dynamics model of formation near the point of Earth/Moon-Sun is analyzed and the solar radius pressure is used as reconfiguration force. Then, a nonlinear controller with feed forward neural networks is designed which using a hybrid algorithm. The weights between input layer and...
Lots of researches have been increasingly focusing on time series analysis of remote sensing datasets, deriving phenology time and trajectory parameters by carve fitting and detecting changes due to natural or artificial factors. For these applications extraction of various characteristic parameters is an indispensable and fundamental procedure. However, there is a lack of an integrated method currently...
The remote sensing techniques have been in good operation in the application study on crop acreage monitoring from the initial small regions up to now. The crop acreage monitoring is one of element tasks in the remote-sensing yield estimation, and its precise results can affect the reliability and applicability of the data directly. With development of data sets of multispectral and multi-spatial...
Signal detection in low signal to noise ratio (SNR) is widely concerned. In this paper, an algorithm for weak signals detection based on cross-correlation analysis is proposed. The simulation results show that this algorithm is a fairly effective method for improving the ratios of signal to noise. Using this algorithm in radio monitoring, we can raise the sensitivity of the monitoring system and extend...
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