WE2.R13.4

GEOSPATIAL INTELLIGENCE FOR INDIVIDUAL CROP DETECTION AND ANOMALY MONITORING

Freda Dorbu, Leila Hashemi-Beni, North Carolina A&T State University, United States
Session:
WE2.R13: Multi-sensor Data Fusion and Geospatial Data Intelligence Oral
Track:
Community-Contributed Sessions
Location:
Room 105
Presentation Time:
Wed, 19 Jul, 10:51 - 11:03 Pacific Time (UTC -7)
Session Co-Chairs:
Leila Hashemi-Beni, North Carolina A&T State University and Jonathan Li, University of Waterloo
Session Manager:
Abhishek Singh
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Session WE2.R13
WE2.R13.1: SEMANTIC FEATURE-BASED LIDAR SLAM FOR ACCURATE FOREST INVENTORY
Tian Zhou, Chunxi Zhao, Songlin Fei, Ayman Habib, Purdue University, United States
WE2.R13.2: A BLOCK-WISE IMAGE-BASED MOBILE LOCALIZATION USING GOOGLE STREETVIEW
Zhixin Li, Jie Shan, Purdue University, United States
WE2.R13.3: A NEW DEEP NEURAL NETWORK FOR OPTICAL AND SAR IMAGE FUSION
Guowei Zhao, Ganggang Dong, Xidian University, China
WE2.R13.4: GEOSPATIAL INTELLIGENCE FOR INDIVIDUAL CROP DETECTION AND ANOMALY MONITORING
Freda Dorbu, Leila Hashemi-Beni, North Carolina A&T State University, United States
WE2.R13.5: INVESTIGATION OF THE RELATIONSHIP BETWEEN SPACEBORNE TIR MEASUREMENTS AND NEAR SURFACE AIR TEMPERATURE
Sanjay Swami, Roger Förstner, Michael Schmitt, University of the Bundeswehr, Germany
Resources
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