Deep Learning-Based Land Classification: A CNN Architecture for High-Accuracy Land Use Mapping
نویسندگان
چکیده
This research paper focuses on the important method of image matching for collecting ground control points and automated precise geo-registration high-resolution satellite imagery. The study aims to improve success rate between incoming images reference chips generated from aerial color ortho-images by using pan-sharpened images. results show that use leads higher rates due similar spectral range spatial resolution. also highlights significance accurate land cover information various geospatial applications such as agriculture, environmental urban management. Traditional methods gathering are time-consuming involve physical labor, making a more efficient practical solution.
منابع مشابه
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
In this paper, we address the challenge of land use and land cover classification using remote sensing satellite images. For this challenging task, we use the openly and freely accessible Sentinel-2 satellite images provided within the scope of the Earth observation program Copernicus. The key contributions are as follows. We present a novel dataset based on satellite images covering 13 differe...
متن کاملA bootstrap method for assessing classification accuracy and confidence for agricultural land use mapping in Canada
Land cover and land use classifications from remote sensing are increasingly becoming institutionalized framework data sets for monitoring environmental change. As such, the need for robust statements of classification accuracy is critical. This paper describes a method to estimate confidence in classification model accuracy using a bootstrap approach. Using this method, it was found that class...
متن کاملComparing the Capability of Sentinel 2 and Landsat 8 Satellite Imagery in Land Use and Land Cover Mapping Using Pixel-based and Object-based Classification Methods
Introduction: Having accurate and up-to-date information on the status of land use and land cover change is a key point to protecting natural resources, sustainable agriculture management and urban development. Preparing the land cover and land use maps with traditional methods is usually time and cost consuming. Nowadays satellite imagery provides the possibility to prepare these maps in less ...
متن کاملLand use mapping in the Three Gorges Reservoir Area based on semantic segmentation deep learning method
The Three Gorges Dam, a massive cross-century project spans the Yangtze River by the town of Sandouping, located in Yichang, Hubei province, China, was built to provide great power, improve the River shipping, control floods in the upper reaches of the Yangtze River, and increase the dry season flow in the middle and lower reaches of the Yangtze River. Benefits are enormous and comprehensive. H...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal For Multidisciplinary Research
سال: 2023
ISSN: ['2582-2160']
DOI: https://doi.org/10.36948/ijfmr.2023.v05i05.6430