Urban ecological forestry analysis based on FPGA and dynamic image sampling

摘要

Urban ecological forestry is one of the analyses leading to high global mortality. Urban ecological forestry is based on the destruction of forest habitats and the loss of biodiversity. It is the growth of animals and plants in the world. It is characterized by a single irregular urban forest all over the world. Therefore, it is necessary to detect the affected area according to the application, find out and deal with it early. It is generally believed that urban ecosystem forests are essential indicators of destruction. The previous method used Support Vector Machine (SVM) and Short Time Fourier Transform Algorithm (STFT) to reduce the accuracy and efficiency of C.T. (Computed Tomography) images. The image processing system based on urban ecological forest analysis and detection is being processed. The conversion method is prolonged, and it is impossible to verify the image using advanced risk architecture. The proposedProgrammable Gate Array) is used to develop image processing and easily interface data without complexity. Programmable Gate Array is mainly realized by ASIC (Application Specific Integrated Circuit). This system accelerates forest detection and loss detection and can be used as a single processing system or as a component of an image detection system. Image processing systems rely on doublesided filtering, edge detection, multiple thresholds, image segmentation, morphological image processing, and image labeling to solve urban ecological forestry analysis symptoms.