Eisma, J.A.[Jessica A.]
* 2023: Capturing Small-Scale Surface Temperature Variation across Diverse Urban Land Uses with a Small Unmanned Aerial Vehicle
Eisma, Y.B.
* 2018: Visual Sampling Processes Revisited: Replicating and Extending Senders (1983) Using Modern Eye-Tracking Equipment
* 2023: Blinded windows and empty driver seats: The effects of automated vehicle characteristics on cyclists' decision-making
Includes: Eisma, Y.B. Eisma, Y.B.[Yke Bauke]
Eismann, M.T.
* 2004: MAP Estimation for Hyperspectral Image Resolution Enhancement Using an Auxiliary Sensor
* 2005: Hyperspectral Resolution Enhancement Using High-Resolution Multispectral Imagery With Arbitrary Response Functions
* 2008: Hyperspectral Change Detection in the Presence of Diurnal and Seasonal Variations
* 2009: Automated Hyperspectral Cueing for Civilian Search and Rescue
* 2011: Detecting Changes in Hyperspectral Imagery Using a Model-Based Approach
* 2012: Application of Model-Based Change Detection to Airborne VNIR/SWIR Hyperspectral Imagery
* 2012: Fusion of LIDAR data with hyperspectral and high-resolution imagery for automation of DIRSIG scene generation
* 2012: Fusion of LIDAR data with hyperspectral and high-resolution imagery for automation of DIRSIG scene generation
* 2013: multimodal approach to high resolution image classification, A
* 2014: Evaluating the Lidar/HSI direct method for physics-based scene modeling
* 2015: Extension of the Linear Chromodynamics Model for Spectral Change Detection in the Presence of Residual Spatial Misregistration
* 2016: Novel Cluster Kernel RX Algorithm for Anomaly and Change Detection Using Hyperspectral Images, A
* 2017: Spectral Radiance Modeling and Bayesian Model Averaging for Longwave Infrared Hyperspectral Imagery and Subpixel Target Identification
Includes: Eismann, M.T. Eismann, M.T.[Michael T.]
13 for Eismann, M.T.