**Applications (Satellite Calibration)**

10-00120

#### **Vicarious Radiometric Calibration of the Hyperspectral Imaging Microsatellites SPARK-01 and -02 over Dunhuang, China**

#### *Hao Zhang, Bing Zhang, Zhengchao Chen and Zhihua Huang*

This paper develops a procedure to use dark current computation process average multiple lines of long strip imagery acquired over open oceans during nighttime and non-uniform correction process by using images acquired after the adjustment of the satellite yaw angle to 90. This technique was shown to be suitable for large-swath satellite image relative calibration.

#### **Applications (Brain tumor detection in magnetic resonance imaging)** 09-01174

#### **A Hyperspectral Imaging Approach to White Matter Hyperintensities Detection in Brain Magnetic Resonance Images**

*Hsian-Min Chen, Hsin Che Wang, Jyh-Wen Chai, Chi-Chang Clayton Chen, Bai Xue, Lin Wang, Chunyan Yu, Yulei Wang, Meiping Song and Chein-I Chang*

This paper applies a nonlinear band expansion (NBE) process is proposed to expand MR images to a hyperspectral image so that the well-known hyperspectral subpixel target detection, called constrained energy minimization (CEM) along with its iterative version of CEM (ICEM) for white matter hyperintensities (WMHs).

#### **Applications (Detection of water stress in vineyards)**

10-00202

#### **Modelling Water Stress in a Shiraz Vineyard Using Hyperspectral Imaging and Machine Learning** *Kyle Loggenberg, Albert Strever, Berno Greyling and Nitesh Poona*

This paper applies two ensemble learners, i.e., random forest (RF) and extreme gradient boosting (XGBoost), for detection of water stress in vineyards and discriminating stressed and non-stressed Shiraz vines using terrestrial hyperspectral imaging.
