As the oil and gas industry is crucial to the global energy market, policymakers need
accurate information about local oil reserves and the harmful environmental effects of …

Remote sensing images change detection technology has become a popular tool for
monitoring the change type, area, and distribution of land cover, including cultivated land …

Petroleum and gas pipelines, comprising petroleum and gas pipes and related components,
play an irreplaceable role in petroleum and gas transportation. For global economic growth …

Fugitive dust is an important source of total suspended particulate matter in urban ambient
air. The existing segmentation methods for dust sources face challenges in distinguishing …

This paper focuses on the automatic detection of industrial storage tanks in urban areas
using deep learning-based algorithms. Industrial storage tanks are critical for storing raw …

Precise statistics on the spatial distribution of photovoltaics (PV) are essential for advancing
the PV industry, and integrating remote sensing with artificial intelligence technologies offers …

Heavy-polluting enterprises burn fossil fuels to release large amounts of greenhouse gases,
causing severe pollution worldwide. Heavy-polluting enterprises have a significant …

Urban fugitive dust emission is an open pollution source that enters the atmosphere
because of the dust on the ground being lifted by the wind or human activities. Dust pollution …

Centralized photovoltaic (PV) power plants, as the main form of solar energy utilization, has
been world-widely constructing in recent two decades, which makes photovoltaic landcover …

In this paper, we present an effective method to extract the change in two optical remote-
sensing images. The proposed method is mainly composed of the following steps. First, the …