Remote Sensing Image Geometric Normalization via Pyramid Tile Structure
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Solution Overview
Problem
Existing methods for geometric normalization of multi-source remote sensing images face challenges due to inconsistencies in spatial positioning caused by different imaging methods and parameters, leading to increased workload and low parallel processing efficiency.
Innovation Solution
A remote sensing image geometric normalization method that constructs a pyramid tile structure for a reference image, downloads corresponding data to obtain a standard tile set, performs initial geometric corrections, matches control points to evaluate precision, and determines the need for a second geometric correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional geometric normalization methods are used for multi-source remote sensing images, then geometric consistency can be achieved, but the workload increases and parallel processing efficiency decreases
Solution Approach 1:
The reference image is divided into multiple tiles organized in a pyramid structure with different resolution levels. This segmentation allows the system to process and match only relevant tile portions rather than entire large-scale images, enabling parallel processing across multiple computers while maintaining geometric consistency through controlled point matching between tiles.
2Measurement precision
If high-resolution reference images are used for geometric normalization, then normalization precision improves, but data transmission time and processing workload increase
Solution Approach 1:
Different resolution levels are provided in the pyramid structure according to local needs. The system downloads and processes only the necessary resolution level for each specific normalization task rather than uniformly using high-resolution data everywhere. This allows high precision where needed while reducing overall data transmission time and processing workload for areas where lower resolution suffices.
Data Source
AI summary
A remote sensing image geometric normalization method and apparatus. The method comprises: constructing a pyramid tile structure for a reference image, and releasing reference tile data; calculating the level of a tile to be downloaded and the name of the tile to be downloaded, and downloading corresponding data from the reference tile data to obtain a standard tile set; performing first geometric correction on the image to be subjected to geometric normalization and tiles in the standard tile set to obtain a first image processing result; matching the first image processing result with the tiles in the standard tile set to obtain a plurality of control points, and calculating a result evaluation precision; and determining whether to perform second geometric correction on the first image processing result.