Landscape spatial pattern of industrial heritage area based on artificial intelligence and airborne SAR imaging algorithm

Abstract

In this paper, airborne and spaceborne SAR technology is used to study the signal broadband technology and imaging algorithm. For high recognition low orbit spaceborne SAR technology, we describe the method to improve the recognition rate in the case of multi direction and multi-channel. For Airborne SAR, we study tops8 imaging processing algorithm. For airborne squint short range low resolution SAR, we design the imaging place that can be used at any time For geosynchronous orbit SAR, we use relativity and satellite launch theory to observe the laser and recognition rate, and design a data model suitable for geosynchronous orbit satellite imaging processing. Because of the huge amount of information and complex processing process in imaging processing, we collect and calculate the key data on the basis of BP data model. After many experiments, we find that this method is efficient and simple, and the GPU system is optimized and upgraded through BP model, which improves the recognition rate after imaging. Therefore, we think this method can achieve large-scale imaging Part of SAR imaging processing.