Segmentation Of Remote Sensing Imagery

Remote sensing image segmentation refers to the process of dividing remote sensing images into regions or sets of pixels with similar characteristics through computer algorithms. The primary goal is to extract spatial information such as surface cover types and land use, enabling precise identification and classification of complex geographic environments. Remote sensing image segmentation has significant application value in urban planning, environmental monitoring, disaster assessment, and other fields, providing scientific support for decision-making.