Method for generating high-temporal-spatial-resolution remote sensing data by fusing multi-source remote sensing data

• Main Authors: SHEN AOJIE, SHAO RUNZE, ZHAO WENZHI, BAI YANCHEN
• Format: Patent
• Language: Chinese; English
• Published: 03.07.2020
• Subjects: CALCULATING; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

The invention provides a method for generating high spatial-temporal resolution remote sensing data by fusing multi-source remote sensing data. The method comprises the following steps: preprocessinginput remote sensing data with different spatial-temporal resolutions; for the high-time and low-spatial-resolution remote sensing data, extracting change trend information of pixels; subtracting thetrend values from the pixels of the high-temporal-resolution and high-spatial-resolution remote sensing data to enable the residual values to meet first-order and second-order stability conditions; constructing a time covariance model according to the residual values of the high-time and low-spatial-resolution pixels; based on the time covariance model, performing time Kriging interpolation on residual terms of high-space and low-time resolution remote sensing data observed at different times, and estimating a residual value of the remote sensing data at any unobserved moment; and adding the obtained trend value and th