Technical Program: Paper Detail || IEEE IGARSS 2023 || Pasadena, California, USA || 16

THP.P8.11

MULTISPECTRAL CLASSIFICATION OF REMOTE SENSING IMAGERY FOR ARCHAEOLOGICAL LAND USE ANALYSIS WITH MACHINE LEARNING TECHNIQUES

Ivan Villalon-Turrubiates, Instituto Tecnológico y de Estudios Superiores de Occidente (ITESO), Mexico; Miguel De-la-Torre, Universidad de Guadalajara (UDG), Mexico; Maria Llovera-Torres, El Colegio de San Luis (COLSAN), Mexico

Session:

THP.P8: Machine Learning for Optical Data Analysis I Poster

Location:

Poster Area 8

Presentation Time:

Thu, 20 Jul, 14:15 - 15:45 Pacific Time (UTC -8)

Session Chair:

Ronny Hänsch, German Aerospace Center

Session Managers:

HUMAIRA SANAM and Ayoti Banerjee and Imara Mohamed Nazar and sunni kanta prasad kushwaha

Session THP.P8

THP.P8.1: SPECTRAL-SPATIAL KERNEL MINIMUM NOISE FRACTION TRANSFORMATION FOR HYPERSPECTRAL IMAGE CLASSIFICATION

BIN ZHAO, ZHAO YUAN, JAKOB SIGURDSSON, MAGNUS O. ULFARSSON, University of Iceland, Iceland

THP.P8.2: GRAPH-BASED MULTI-VIEW LEARNING FOR HYPERSPECTRAL REMOTE SENSING IMAGE CLASSIFICATION

Xiao Yu, Qiang Zhang, Beijing Institute of Tracking and Telecommunications Technology, China

THP.P8.3: PARALLEL GRAPH ATTENTION NETWORK MODEL BASED ON PIXEL AND SUPERPIXEL FEATURE FUSION FOR HYPERSPECTRAL IMAGE CLASSIFICATION

Lisong Ma, Qingyan Wang, Harbin University of Science and Technology, China; Junping Zhang, Harbin Institute of Technology, China; Yujing Wang, Harbin University of Science and Technology, China

THP.P8.4: CORRECTING NOISY LABELS DURING THE CLASSIFICATION OF HYPERSPECTRAL IMAGES

Qiliang Wei, Peng Fu, Nanjing University of Science and Technology, China

THP.P8.5: MULTICLASS CLASSIFICATION OF REMOTE SENSING IMAGES USING DEEP LEARNING TECHNIQUES

Tahir Arshad, Harbin Institute of Technology, China

THP.P8.6: ROTATION-ROBUST NEIGHBOR-BASED SUBCATEGORY CENTROID ALIGNMENT FOR CORSS-DOMAIN SCENE CLASSIFICATION OF AREIAL IMAGES

Ruixi Zhu, Long Zhuang, Nanjing Research Institute of Electronic Technology, China; Nan Mo, Nanjing Tech University, China

THP.P8.7: AN INTERPRETATION STUDY ON THE MACHINE LEARNING MODELS FOR LANDSLIDE SUSCEPTIBILITY MAPPING

Liang Lv, Tao Chen, Jun Li, China University of Geosciences, China

THP.P8.8: CLASSIFICATION & CLUSTERING OF VOLCANO-SEISMIC EVENTS USING SUPERVISED AND UNSUPERVISED METHODS

Joe Carthy, Manuel Titos, Carlos Martínez Clemente, M. Carmen Benítez, University of Granada, Spain

THP.P8.9: A GENERAL AUTOMATED METHOD OF MAPPING THE IMPERVIOUS SURFACES BASED ON SENTINEL-2 IMAGE TEXTURE FEATURES

Shoujia Ren, Yaozhong Pan, Beijing Normal University, China

THP.P8.10: MAPPING INFORMAL SETTLEMENTS USING MACHINE LEARNING TECHNIQUES, OBIA AND LOCAL KNOWLEDGE

Khlood Ghalib Alrasheedi, Ashraf Dewan, Ahmed El-Mowafy, Curtin University, Australia; ,

THP.P8.11: MULTISPECTRAL CLASSIFICATION OF REMOTE SENSING IMAGERY FOR ARCHAEOLOGICAL LAND USE ANALYSIS WITH MACHINE LEARNING TECHNIQUES

THP.P8.12: EVALUATION OF ESA CCI ABOVE GROUND BIOMASS USING MULTI-SOURCE, MULTI-SPECTRAL DATA AND MACHINE LEARNING

Harsh Srivastava, Triloki Pant, IIITA Prayagraj, India