Tracking boats in the strait of hormuz using NASIR imagery and higher dimensions

NISAR-Radar Dataset represents a high-fidelity topological reconstruction of maritime and terrestrial backscatter derived from Level-1 Range-Doppler Single Look Complex (RSLC) radar geometry. By mapping the intensity of radar returns to the vertical displacement ($z$-axis), the engine transforms 2D satellite observations into a physical Manifold where man-made structures—specifically steel-hulled freighters and urban infrastructure—manifest as peaks of energy. This 12-dimensional vector space $(t, x, y, z, R, G, B, N_x, N_y, N_z, d, \theta)$ allows for the precise mathematical isolation of non-natural anomalies. In this dataset, the Theta Angle ($\theta$) serves as a primary diagnostic for Ridges, identifying the sharp geometric discontinuities where high-density reflectors meet the fluid or organic baseline of the ocean and land. Through this transformation, the dataset moves beyond imagery, providing a kinematic record of structural energy signatures moving across the planetary surface in 12-day orbital intervals.