Deep neural network space spectrum classification method for high-spectral image
A deep neural network and hyperspectral image technology, which can be used in instruments, scene recognition, computing, etc., can solve the problems of information loss, lack of consideration of target pixel spatial information, and insufficient classification accuracy, and achieve the effect of good classification accuracy.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0028] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
[0029] figure 2 It is a schematic flowchart of the method of the present invention. As shown in the figure, the deep neural network spatial spectrum classification method for hyperspectral images provided by the present invention specifically includes the following steps:
[0030] Step 1: Read hyperspectral remote sensing image data and normalize the original data;
[0031] Step 2: Extract the feature value of the target pixel point and the feature value of the domain pixel in the same band as the target pixel point to form a grouping feature;
[0032] Step 3: Integrate the grouping features of each band of the target pixel point to obtain the grouping spatial spectral features of the hyperspectral;
[0033] Step 4: Determine the sample category according to the target pixel category, and randomly divide the marked samples into training ...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com