Vol. 8 No. 1 (2019)
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Open AccessArticles
Article ID: 517
A Modified Range Migration Algorithm for FMCW SAR Signal Processingby Li Yake, Siu O’ Young
Remote Sensing, Vol.8, No.1, 2019; 439 Views, 17 PDF Downloads, 0 A Modified Range Migration Algorithm for FMCW SAR Signal Processing Downloads
The range migration algorithm (RMA) is an accurate imaging method for processing synthetic aperture radar (SAR) signals. However, this algorithm requires a big amount of computation when performing Stolt mapping. In high squint and wide beamwidth imaging, this operation also requires big memory size to store the result spectrum after Stolt mapping because the spectrum will be significantly expanded. A modified Stolt mapping that does not expand the signal spectrum while still maintains the processing accuracy is proposed in this paper to improve the efficiency of the RMA when processing frequency modulated continuous wave (FMCW) SAR signals. The modified RMA has roughly the same computational load and required memory size as the range Doppler algorithm (RDA) when processing FMCW SAR data. In extreme cases when the original spectrum is significantly modified by the Stolt mapping, the modified RMA achieves better focusing quality than the traditional RMA. Simulation and real data are used to verify the performance of the proposed RMA.
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Open Access
Articles
Article ID: 247
Application and the remote sensing geological exploration technoloby xu Gao xu Gao
Remote Sensing, Vol.8, No.1, 2019; 181 Views, 5 PDF Downloads
In recent years, with the continuous progress of social economy and the continuous of science and TE Chnology, there is a low degree of standardization in remote sensing geological exploration. The application of remote sensing technology is relatively high. The role of remote sensing geological exploration technology is outstanding. Based on the factors that affect remote sensing geological exploration, this technology paper how to analyzes onalized application.
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Open Access
Articles
Article ID: 361
The development characteristics of remote sensing classification technology in the Study of vegetation classificationby jin Wangjin Wang
Remote Sensing, Vol.8, No.1, 2019; 171 Views, 2 PDF Downloads
Summary Remote Sensing technology evolving , The applies to vegetation classification studies with the following features : one , Remote sensing data from low-resolution to high resolution ; second , data from the single time Single-source remote sensing classification to multi-phase , Multi-source information fusion development ; Third ,category The method develops from a single classification method to a composite taxonomy ; Fourth , from based on meta category to object-oriented classification direction .
