SAR Image Transmission Method Based on Compressed Sensing and Channel Adaptation

Abstract

The invention discloses an SAR image transmission method based on compressed sensing and channel self-adaption. The SAR image transmission method comprises the steps that first, input SAR images are divided into small images with the same size; direction elevating and wavelet transformation are conducted on each small image; zero setting is conducted on coefficients with small amplitude values, only large coefficients in a small proportion are reserved, and then random measurement is conducted on a wavelet coefficient by a random matrix; then quantization is conducted on measurement values. Sampling values after being quantized are packaged before transmission. Random drop and error codes are added in a simulation transmission channel. The inverse operation of the above steps, namely, packaging, inverse quantization, wavelet coefficient reconstruction, wavelet inverse transformation and image combination, are conducted at a receiving end. According to the SAR image transmission method based on the compressed sensing and channel self-adaption, compressed sensing is used as an encoder of the SAR images, only two times of matrix multiplication are needed in the encoding process, and encoding of the SAR images is made to be simple. Due to the fact that an encoding end of the SAR images is placed in flight equipment such as an unmanned plane generally, the encoder is as simple as possible. The compressed sensing is introduced to be used as the compression encoder of the SAR images, and the problem that encoding of the SAR images is complex is solved.

Description

【Technical field】 [0001] The invention relates to the field of image transmission, in particular to a SAR image transmission method. 【Background technique】 [0002] Synthetic Aperture Radar (SAR) technology has a wide range of applications in military and civil fields, such as earth remote sensing, ocean research, resource survey, disaster forecasting and military reconnaissance. However, the transmission process of SAR images often faces the problems of narrow bandwidth, severe channel variation, and high bit errors. Therefore, it is of great significance to study an efficient and robust SAR coding transmission system. [0003] In the current SAR image transmission system, in order to achieve the purpose of efficient compression and robust transmission, the scheme of source compression (such as CCSDS algorithm, etc.) combined with channel coding (such as Raptor code, etc.) is usually used. Although these schemes have high rate-distortion performance, and when the channel i...

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