A5063180047- Educational Methods and Impacts
- Islamic Finance and Communication
- Remote Sensing and Land Use
- Remote Sensing in Agriculture
- Archaeology and Historical Studies
- Legal and Social Justice Studies
- Remote-Sensing Image Classification
- Public Health and Nutrition
- Historical and Linguistic Studies
- Biblical Studies and Interpretation
University of Engineering and Technology Peshawar
2023-2024
<span lang="EN-US">Deep learning (DL) techniques are effective in various applications, such as parameter estimation, image classification, recognition, and anomaly detection. They excel with abundant training data but struggle limited data. To overcome this, transfer is commonly used, leveraging complex abilities, saving time, handling labeled This study assesses a (TL)-based pre-trained “deep convolutional neural network (DCNN)” for classifying land use cover using imbalanced dataset...
This study intends to classify the land cover of an area especially small farmlands using object-based image analysis (OBIA) method and evaluates performance a supervised classifier. Multi-spectral Sentinel-2 imagery which is freely available used four classifiers are applied it. The was divided into major classes namely Urban, Wheat, Tobacco Other Vegetation with varying accuracy values. first resampled 10 m spatial resolution then NDI45 layer stacked A widely MRS technique for delineating...