Accurate maps of Earth's geology, especially its regolith, are required for managing the
sustainable exploration and development of mineral resources. This paper shows how …

It is observed that the great spectral variation in the same hyperspectral image (HSI) pixel
class often leads to misclassification. To solve this problem, we have proposed an automatic …

Due to its high spectral resolution, Hyperspectral remote sensing data can provide
practically continuous spectral curves for target objects and fully reflect the detailed …

Support Vector Machine (SVM), which is based on the statistical learning theory, was used
for remote sensing image classification. On the condition that ground investigation and …

This paper proposes an automated method for segregating and counting the different
colored pencils by non-contact method. The proposed work is carried out in LabVIEW …

With growing environmental awareness in the face of climate change, more accurate
quantitative information on vegetation species/community composition is required now more …

Hyperspectral image classification plays a major role in remote image analysis.
Hyperspectral images provide both spatial details of airborne imagery and spectral …

针对高光谱遥感影像处理效率的问题, 提出了一种基于高光谱曲线小波分解低频系数分维特征
影像和高频系数分维特征影像相结合的高光谱遥感影像分割方法. 对高光谱响应曲线的分形测度 …

Classification of hyperspectral images in remote sensing has received attention during past
decades. In this work, the feature extraction within images is based on Contourlet Transform …

The impacts of climate change in the African continent have far reaching effects because it is
a region of high vulnerability to climate shocks; it threatens food security, livelihoods and …