TY - GEN
T1 - Land - Use and Land - Cover Classification Methods
T2 - 4th International Conference on Microelectronics, Signals and Systems, ICMSS 2021
AU - Thasveen M., Salwa
AU - Suresh, Shilpa
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - The physical cover that present on the earth's surface is referred as land cover. It includes forests, water bodies, grass, asphalt, bare ground etc. The data acquisition of the land cover is mostly done by remote sensing. The acquired data is then categorized into different land covers, by the process of land cover classification. The selection of land cover classification method and its complexity depends upon the landscape under consideration. Various researches are going on the field of land cover classification as its application is spreading in to various areas like disaster management, urban planning, management in various fields like ecology, wild life and so on. This paper presents a review on various recent approaches for land cover classification which includes the statistical, machine learning and deep learning methods and its efficiency in classifying different terrains.
AB - The physical cover that present on the earth's surface is referred as land cover. It includes forests, water bodies, grass, asphalt, bare ground etc. The data acquisition of the land cover is mostly done by remote sensing. The acquired data is then categorized into different land covers, by the process of land cover classification. The selection of land cover classification method and its complexity depends upon the landscape under consideration. Various researches are going on the field of land cover classification as its application is spreading in to various areas like disaster management, urban planning, management in various fields like ecology, wild life and so on. This paper presents a review on various recent approaches for land cover classification which includes the statistical, machine learning and deep learning methods and its efficiency in classifying different terrains.
UR - http://www.scopus.com/inward/record.url?scp=85125321798&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85125321798&partnerID=8YFLogxK
U2 - 10.1109/ICMSS53060.2021.9673623
DO - 10.1109/ICMSS53060.2021.9673623
M3 - Conference contribution
AN - SCOPUS:85125321798
T3 - Proceedings of the 4th International Conference on Microelectronics, Signals and Systems, ICMSS 2021
BT - Proceedings of the 4th International Conference on Microelectronics, Signals and Systems, ICMSS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 18 November 2021 through 19 November 2021
ER -
