Functional Description

This tool is used for classifying objects in remote sensing image service data, which involves using deep learning algorithms to categorize objects in images.

This process analyzes the spectral and spatial information of various objects in remote sensing images, assigning semantic category labels to each pixel with semantic information, achieving object classification, including: buildings, forest land, grassland, paddy fields, agricultural land, etc.

Supported Data Sources

• iPortal Service Resource

Supported Formats: Image Service

Functional Entrance

Two methods are available to execute image object classification analysis.

Direct Command Input in Dialog Box

• Locate the Dialogue panel on the left side of the main interface.

Select Command via Instruction Center

• Navigate to Instruction-> Remote Sensing Analysis Tools on the left panel of the main interface.

Operation Steps

Direct Command Input in Dialog Box

Enter the image object classification analysis command in the dialog box, then click the Execute button.

For example:"Search for service resources named "sensing," explore and utilize the image dataset labeled "multi-classify-4326," conduct multi-class image classification analysis, and visualize the analysis results on a map within original resource as base image.".

Select Command via Instruction Center

In the Remote Sensing Analysis Tools section, click the Image Object Classification Analysis command box. The predefined command content will be automatically added to the dialog box. Click the Execute button to proceed.