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The detection and extraction of buildings using high resolution synthetic aperture radar (SAR) images has been the topic of recent discussions. In this paper, a framework for building extraction and classification is proposed. Buildings are classified into three kinds: commercial architecture, residential building and Industrial building, by the fusion of structure features (point-like, linear and...
The new advanced very high resolution (VHR) synthetic aperture radar (SAR) sensors are capable of achieving sub-meter resolution, which offers the opportunity for a fine level of analysis of man-made structures. In this paper, we present a method for the detection and 2-D reconstruction of building radar footprints from VHR SAR scenes. The method is based on the extraction of a set of low-level features...
Under the condition that the accuracy of the air-borne platform is unknown, an affine transformation model made up of unknown parameters such as rotation, scale and translation is proposed for Synthetic Aperture Radar (SAR) image geometric correction. These parameters in this model have real physical meanings compared to that in the traditional polynomial models. Based on the characteristics of geometric...
The grammar of facade structures is often related to regularly distributed signature patterns in high-resolution synthetic aperture radar (SAR) images. Given the structural details in the SAR image, algorithms for building extraction/monitoring should exploit this contextual information for an object-based analysis. In this paper we propose a framework to extract detailed high rise building features...
In view of the variety of the changes of burning flame in large-scale boiler, in order to master the status of the furnace flame in real time. In this paper, it introduces the BP neural network absorb the basic method of flame-picture's temperature, to study thoroughly discussed about the BP neural network model, and puts forward an improved BP neural network method, as for the method to calculate...
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