HANDBOOK OF EXPLORATION GEOCHEMISTRY
CONTENTS GEOLOGICAL REMOTE SENSING: AN OVERVIEW DESCRIPTION OF GEOLOGICAL REMOTE SENSING CONCEPT AND PRINCIPLE OF GEOLOGICAL REMOTE SENSING KEY REMOTE SENSING TECHNIQUES FOR GEOLOGICAL RESEARCH KEY FEATURES FOR THE INTERPRETATION OF GEOLOGICAL REMOTE SENSING TECHNICAL SYSTEM OF REMOTE SENSING TECHNOLOGY FOR GEOLOGICAL RESEARCH APPLICATIONS OF GEOLOGICAL REMOTE SENSING RESEARCH ADVANCE IN GEOLOGICAL REMOTE SENSING PAYLOAD: DEVELOPING FROM SINGLE OPTICAL SENSOR TO NEW MULTIMODAL SENSORS DATA PROCESSING: DEVELOPING FROM “ROUGH” TO “PRECISION” GEOLOGICAL APPLICATION: DEVELOPING FROM HUMAN–COMPUTER INTERACTION TO ALL-FACTOR INTELLIGENT INTERPRETATION INTELLIGENT INTERPRETATION OF GEOLOGICAL REMOTE SENSING TECHNICAL SYSTEM OF INTELLIGENT INTERPRETATION OF REMOTE SENSING FOR GEOLOGY ADVANTAGES OF INTELLIGENT INTERPRETATION OF GEOLOGICAL REMOTE SENSING CHALLENGES AND FUTURE DIRECTIONS OF GEOLOGICAL REMOTE SENSING GAPS AND CHALLENGES IN CURRENT STATE OF GEOLOGICAL REMOTE SENSING RESEARCH DIRECTIONS OF GEOLOGICAL REMOTE SENSING REFERENCES GEOLOGICAL REMOTE SENSING DATASET CONSTRUCTION FOR MULTI-LEVEL TASKS PIXEL-LEVEL DATASET STUDY AREA DATA SOURCES DATA PREPROCESSING DATASET CONSTRUCTION SCENE-LEVEL DATASET SEMANTIC SEGMENTATION-LEVEL DATASET SEMANTIC SEGMENTATION-LEVEL DATASET BASED ON MULTISOURCE DATA PRIOR KNOWLEDGE-ASSISTED DATASET TRANSFER LEARNING DATASET TRANSFER LEARNING DATASET FOR PRIOR KNOWLEDGE-ASSISTED STUDY LITHOLOGICAL CLASSI?CATION BASED ON LARGE-SCALE PIXEL NEIGHBORHOOD AND VGGNET-BASED TRANSFER LEARNING INTRODUCTION METHODS CONSTRUCTION OF MODEL VGG16 CONVOLUTIONAL NEURAL NETWORK MODEL VGG16 TRANSFER LEARNING MODEL ACCURACY EVALUATION RESULTS EXPERIMENTAL ENVIRONMENT AND SETUP FULL IMAGE PREDICTION VISUAL EVALUATION OF PREDICTION RESULTS QUANTITATIVE ACCURACY EVALUATION CONCLUSION LITHOLOGICAL REMOTE SENSING SCENE CLASSI?CATION BASED ON MULTI-VIEW DATA RESEARCH BACKGROUND AND SIGNI?CANCE RESEARCH STATUS RESEARCH OBJECTIVES AND MAIN RESEARCH CONTENTS LITHOLOGIC SCENE CLASSI?CATION BASED ON MULTI-VIEW REMOTE SENSING DATA FUSION RESULTS AND DISCUSSION EXPERIMENTAL SETUP AND HYPERPARAMETER OPTIMIZATION EXPERIMENTAL RESULT DISCUSSIONS GEOLOGICAL LITHOLOGY SEMANTIC SEGMENTATION BASED ON DEEP LEARNING METHOD THE UTILIZED ALGORITHMS EVALUATION METRICS EXPERIMENT SETUP MODEL PERFORMANCE VISUAL ASSESSMENT REMOTE SENSING LITHOLOGY INTELLIGENT SEGMENTATION BASED ON MULTI-SOURCE DATA RESEARCH BACKGROUND AND MEANING RESEARCH OBJECTIVES AND RESEARCH CONTENT REMOTE SENSING LITHOLOGY SEMANTIC SEGMENTATION METHOD BASED ON ADAPTIVE FUSION OF MULTI-SOURCE DATA REMOTE SENSING LITHOLOGY SEMANTIC SEGMENTATION METHOD BASED ON PRIOR KNOWLEDGE EVALUATION OF TEST SET ACCURACY OF MULTI-MODAL DATA ADAPTIVE FUSION METHOD TEST SET ACCURACY EVALUATION USING METHODS THAT INCORPORATE PRIOR KNOWLEDGE PRIOR KNOWLEDGE-BASED INTELLIGENT MODEL FOR LITHOLOGY CLASSI?CATION LITHOLOGICAL SCENE CLASSI?CATION BASED ON PRIOR KNOWLEDGE AND IMPROVED DENSE CONNECTED NETWORKS IMPROVED DENSE CONNECTIVITY NETWORK EDGE ENHANCEMENT EXPERIMENTAL SETUP AND ENVIRONMENT EVALUATING METRICS RESULTS AND DISCUSSIONS COMPARATIVE EXPERIMENT OF 3EFFSA MODEL COMPARATIVE EXPERIMENT OF PRIOR-3EFFSA MODEL DISCUSSION MULTI-VIEW LITHOLOGY REMOTE SENSING SCENE CLASSI?CATION BASED ON TRANSFER LEARNING LITHOLOGIC SCENE CLASSI?CATION BASED ON TRANSFER LEARNING LITHOLOGICAL SCENE CLASSI?CATION BASED ON MODEL MIGRATION AND FINE-TUNING STRATEGY OVERVIEW OF TRANSFER LEARNING DEEP TRANSFER LEARNING LEFT SIDE AS THE SOURCE DOMAIN, AND RIGHT SIDE AS THE TARGET DOMAIN RIGHT SIDE AS THE SOURCE DOMAIN, AND LEFT SIDE AS THE TARGET DOMAIN RESULTS AND ANALYSIS EXPERIMENTAL RESULTS AND ANALYSIS OF TRANSFER LEARNING MODEL EXPERIMENTAL RESULTS AND ANALYSIS OF TRANSFER LEARNING BASED ON SMALL SAMPLES HYPERSPECTRAL REMOTE SENSING INVERSION OF MINERAL ABUNDANCE BASED ON SPARSE UNMIXING METHOD LMM SUNSAL SUNSAL-TV MUA EXPERIMENTAL RESULTS AND DISCUSSION SPECTRAL LIBRARY SIMULATION DATASETS REAL DATASETS EVALUATION CRITERION EXPERIMENTAL ANALYSIS CONCLUDING REMARKS