Abstract: To overcome the challenges of parking lot structure extraction using optical remote sensing images, this study proposes an automatic method for the extraction of parking lot structure by ...

Abstract: This paper proposed a novel urban building extraction method to address the problems with shadow and spectral confusion using LiDAR data and very high resolution (VHR) imagery. The buildings ...

Ungulates and other mammalian herbivores can create trails in dense vegetation by trampling and browsing. This can affect vegetation structure and result in the fragmentation of closed, high ...

This project is an Invoice Entity Extractor that processes uploaded PDF invoices, extracts relevant data using Google Generative AI (Gemini Pro Vision), and provides the extracted data for download in ...

With the advancement of technology, the driving system is also getting advanced and providing more safety. The auto-braking feature, obstacle detection system, anti-collision system, and alert system ...

Taking a critical step toward developing light detection and ranging (LiDAR) systems for widespread commercial applications, CEA-Leti has developed genetic algorithms to calibrate high-channel–count ...

With the development of Light Detection and Ranging (LiDAR) and Unmanned Aerial Vehicle (UAV) technology, extracting tree crowns from LiDAR data and infering their geometrical features are becoming ...

The ever-growing world population brings the challenge for food security in the current world. The gene modification tools have opened a new era for fast-paced research on new crop identification and ...