Essays about: "Image change detection"

Showing result 6 - 10 of 44 essays containing the words Image change detection.

  1. 6. Exploring Diversity of Spectral Data in Cloud Detection with Machine Learning Methods : Contribution of Near Infrared band in improving cloud detection in winter images

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Nakita Sunil Oza; [2022]
    Keywords : Remote sensing; Multispectral imaging; Cloud detection; Data diversity; Deep learning; Fjärranalys; Multispektral bildbehandling; Molndetektion; Datadiversitet; Djupinlärning;

    Abstract : Cloud detection on satellite imagery is an essential pre-processing step for several remote sensing applications. In general, machine learning based methods for cloud detection perform well, especially the ones based on deep learning as they consider both spatial and spectral features of the input image. READ MORE

  3. 7. Night-time lights as a proxy for socioeconomic indicators in Uganda

    University essay from Lunds universitet/Nationalekonomiska institutionen

    Author : Eric Kaoukji; [2022]
    Keywords : Night-time lights Remote sensing Uganda Development economics Python Linear regression Satellite imagery; Business and Economics;

    Abstract : A large amount of economic research is reliant upon census, survey, or national accounts as a source of data. For many developing nations, the quality of this data is widely recognised to be unreliable and is rarely available at the sub-national level. READ MORE

  4. 8. Carta ex Machina: Testing object-based machine learning and unsupervised classification in land use change detection mapping in the semi-arid governorate of Sidi Bouzid, Tunisia

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Kristian Emil Havnsgaard Paludan; [2021]
    Keywords : Change detection; Land use mapping; LANDSAT MSS; LANDSAT TM; GEOBIA; Random Forest classification; ISODATA cluster classification; Object-based classification; Semi-arid agriculture; Irrigation mapping; Earth and Environmental Sciences;

    Abstract : Sidi Bouzid, Tunisia is an inland governorate in Tunisia that has undergone a rapid agricultural and urban development since the Tunisian independence in 1952 from being a rural and largely nomadic region into a hub of irrigated agriculture. In 2010 Mohamed Bouazizi sparked the Tunisian revolution by lighting himself on fire int he city of Sidi Bouzid, with some blaming the inequality and water scarcity created by this rapid expansion in the irrigation farming as an important cause (Bayat, 2017; Malka, 2018). READ MORE

  5. 9. Computer Vision for Camera Trap Footage : Comparing classification with object detection

    University essay from Uppsala universitet/Avdelningen för visuell information och interaktion

    Author : Fredrik Örn; [2021]
    Keywords : computer vision; camera traps; classification; object detection; neural networks; artificial intelligence; machine learning; datorseende; kamerafällor; klassificering; detektering; neurala nätverk; artificiell intelligens; maskininlärning;

    Abstract : Monitoring wildlife is of great interest to ecologists and is arguably even more important in the Arctic, the region in focus for the research network INTERACT, where the effects of climate change are greater than on the rest of the planet. This master thesis studies how artificial intelligence (AI) and computer vision can be used together with camera traps to achieve an effective way to monitor populations. READ MORE

  6. 10. Road Segmentation and Optimal Route Prediction using Deep Neural Networks and Graphs

    University essay from KTH/Matematik (Avd.)

    Author : Viktor Ossmark; [2021]
    Keywords : statistics; applied mathematics; machine learning; computer vision; deep learning; satellite data; remote sensing; image segmentation; optimal routing; deep neural networks; graphs; AI; statistik; tillämpad matematik; maskininlärning; djup inlärning; datorseende; satellitdata; bildsegmentering; optimala rutter; grafer; AI;

    Abstract : Observing the earth from above is a great way of understanding our world better. From space, many complex patterns and relationships on the ground can be identified through high-quality satellite data. READ MORE