Urbanization patterns vary globally, shaped by culture and history. Indian cities often feature organic, mixed-use layouts fostering dense social interactions. British cities follow colonial grids and industrial planning, emphasizing functionality. American urbanization is defined by sprawling suburbs and car-centric designs. French cities prioritize monumental avenues and centralized urban planning, while Chinese urbanization combines traditional principles with high-density modern developments, reflecting rapid economic growth. Each pattern represents distinct urban priorities.
Image Classification in Remote Sensing Image classification in remote sensing involves categorizing pixels in an image into thematic classes to produce a map. This process is essential for land use and land cover mapping, environmental studies, and resource management. The two primary methods for classification are Supervised and Unsupervised Classification . Here's a breakdown of these methods and the key stages of image classification. 1. Types of Classification Supervised Classification In supervised classification, the analyst manually defines classes of interest (known as information classes ), such as "water," "urban," or "vegetation," and identifies training areas —sections of the image that are representative of these classes. Using these training areas, the algorithm learns the spectral characteristics of each class and applies them to classify the entire image. When to Use Supervised Classification: - You have prior knowledge about the c...
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