Скачать или смотреть How can Change Detection of Satellite Imagery be performed in Erdas Imagine 2021 using Matrix Uni

To perform Change Detection of Satellite Imagery in Erdas Imagine 2021 using Matrix Union, you can follow these steps:

Import the satellite imagery: Start by importing the two satellite images that you want to compare for change detection. These images should represent the same area but captured at different times.

Preprocess the images: It is essential to preprocess the images to ensure they are properly georeferenced and radiometrically calibrated. This may involve correcting geometric distortions, aligning the images, and applying radiometric corrections.

Image-to-image registration: Register the two images to ensure they are spatially aligned. Erdas Imagine provides tools for image-to-image registration, allowing you to align the two images accurately.

Subset the images: If needed, subset the images to focus on the specific area of interest where you want to detect changes. This step helps reduce processing time and enhances the analysis for the target area.

Perform change detection: In Erdas Imagine, you can utilize the Matrix Union operation for change detection. The Matrix Union compares the pixel values of the two images and identifies the changes that have occurred between them.

Set thresholds: Define thresholds or change criteria to distinguish between significant changes and normal variations in the pixel values. This step helps filter out insignificant changes and focus on meaningful alterations in the imagery.

Generate change map: Apply the Matrix Union operation with the defined thresholds to create a change map. The change map highlights the areas where significant changes have occurred between the two images.

Refine the change map: Depending on the specific requirements and characteristics of the imagery, you may need to refine the change map further. This can involve post-processing techniques such as noise reduction, morphological operations, or spatial filtering to enhance the accuracy of the change map.

Interpret and analyze the results: Once you have the change map, interpret and analyze the detected changes. This can involve visual inspection, quantitative analysis, or comparison with ground truth data to assess the accuracy of the change detection process.

By utilizing the Matrix Union operation in Erdas Imagine 2021, you can effectively detect and analyze changes between two satellite images, enabling monitoring of land cover changes, urban growth, or any other relevant applications that require change detection in satellite imagery.