Remote sensing object detection (RSOD), one of the most fundamental and challenging
tasks in the remote sensing field, has received long-standing attention. In recent years, deep …

Panchromatic and multispectral image fusion, termed pan-sharpening, is to merge the
spatial and spectral information of the source images into a fused one, which has a higher …

Ship detection is a challenging task for synthetic aperture radar (SAR) images. Ships have
arbitrary directionality and multiple scales in SAR images. Furthermore, there is a lot of …

It is significant for port ship scheduling and traffic management to be able to obtain more
precise location and shape information from ship instance segmentation in SAR pictures …

With practical applications such as environment surveillance, agricultural production, and
disaster assessment, accurate object detection in remote sensing images is in high demand …

Ship detection plays a significant role in the high-resolution remote sensing (HRRS)
community, but it is a challenging task due to the complex contents within HRRS images and …

Methane (CH 4) is a significant greenhouse gas in exacerbating climate change.
Approximately 25% of CH 4 is emitted from storage tanks. It is crucial to spatially explore the …

Challenges still exist in the task of object detection in remote sensing images with densely
distributed objects due to large variation in scale and neglect of the relative position and …

Traditional machine learning-based pest classification methods are a tedious and time-
consuming process A method of multi-class pest detection based on deep learning and …

We aimed to improve the performance of ship detection methods in synthetic aperture radar
(SAR) images by utilizing machine learning (ML) and artificial intelligence (AI) techniques …