Digital Image Processing Book By Sanjay Sharma Pdf 350

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Kiera Mcintyde

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Jul 16, 2024, 8:56:43 PM7/16/24

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A business transformation is incomplete without the automation of processes at both the IT and business application levels, which is why organizations are relying on workload automation as a unifying force. Learn how HCL Workload Automation can automate tasks related to batch processing, job scheduling, unattended processes, and event-driven automation. The solution leverages Amazon EKS and works with SAP environments to help organizations accelerate their digital transformation journey.

In mountainous areas, it is the undulant terrain, various types of geomorphic and land use that make the remote sensing images great metamorphism. Moreover, due to the elevation, there are many areas covered with shadow, clouds and snow that make the images more inaccurate. As a result, it would be very difficult to carry out auto-classification of RS images in these areas. The study took Southwest China as the case study area and the TM images, SPOT images as the basic information sources assisted by the auxiliary data of DEM, NDVI, topographical maps and soil maps to preprocess the images. After preprocessing by topographic correction and wiping off clouds, snow and shadows, all the image data were stacked together to form the images to be classified. Then, the research used segmentation technology and hierarchical method to extract the main types of land use in the area automatically. The results indicated that the qualitative accuracies of all types of land use extracted in Southwest China were above 90 percent, and the quantitative accuracies was above 86 percent. The goal of reducing workloads had been realized.