This study is conducted in accordance with a systematic literature review (SLR) protocol.
SLR is tasked with finding publications, publishers, deep learning types, enhanced and …

Pine wilt nematode disease is a devastating forest disease that spreads rapidly. Using drone
remote sensing to monitor pine wilt nematode trees promptly is an effective way to control …

Hyperspectral anomaly detection using collaborative representation (CR) has attracted high
interest in recent years. Ignoring global information and the use of fixed dual window, which …

Distance/correlation metrics have emerged as a robust and simplified tool for assessing the
spectral characteristics of hyperspectral image pixels and effectively categorizing vegetation …

Optical remote sensing is crucial in land management, maritime safety, and rescue
operations. Currently, high resolution target detection faces the problems including feature …

Conventional urbanization transforms natural into paved landscapes, posing a significant
environmental challenge. Detecting the changes in (im) pervious surfaces in cities, where …

Accurately detecting targets in remote-sensing images is crucial for the military, urban
planning, and resource exploration. There are some challenges in extracting detailed …

Hyperspectral sensors in marine pollution detection, such as oil spills from maritime traffic,
represent an innovative and smart solution that addresses rapid detection and supports …

摘要针对卷积神经网络(CNN) 在分类高光谱图像时空-谱特征利用率不足和分类效率低的问题,
提出基于超像素分割与CNN 的高光谱图像分类方法. 首先利用主成分分析(PCA) …

One of the analyses in hyperspectral images is target detection. With recent developments
and the creation of high spatial resolution images, the need to use both spectral and spatial …