Convolutional neural network (CNN) comprises the most common and extensively used
network in the field of deep learning (DL). The design of CNNs was influenced by neurons …

Remote sensing (RS) presents laser scanning measurements, aerial photos, and high-
resolution satellite images, which are utilized for extracting a range of traffic-related and road …

Hyperspectral images (HSI) provide valuable data for Land-Use and Land-Cover (LU/LC)
segmentation. Detecting buildings, roads, and LU/LC labels in satellite images is crucial for …

As the global population continues to expand, the demand for natural resources increases.
Unfortunately, human activities account for 23% of greenhouse gas emissions. On a positive …

Pengamatan terhadap tata letak sebuah wilayah, terutama wilayah berpenduduk, penting
dilakukan untuk mengetahui perkembangan dan perubahan yang terjadi. Salah satu …

With remote sensor data, land use and land cover classification offers geographical
information. The land use land cover classification process considers several factors for …