Abstract

The 2019 International Symposium on Remote Sensing (ISRS-2019) took place in Taipei, Taiwan from 17 to 19 April 2019. ISRS is one of the distinguished conferences on the photogrammetry, remote sensing and spatial information sciences, especially in East Asia. More than 220 papers were presented in 37 technical sessions organized at the conference. This Special Issue publishes a limited number of featured peer-reviewed papers extended from their original contributions at ISRS-2019. The selected papers highlight a variety of topics pertaining to innovative concepts, algorithms and applications with geospatial sensors, systems, and data, in conjunction with emerging technologies such as artificial intelligence, machine leaning and advanced spatial analysis algorithms. The topics of the selected papers include the following: the on-orbit radiometric calibration of satellite optical sensors, environmental characteristics assessment with remote sensing, machine learning-based photogrammetry and image analysis, and the integration of remote sensing and spatial analysis. The selected contributions also demonstrate and discuss various sophisticated applications in utilizing remote sensing, geospatial data, and technologies to address different environmental and societal issues. Readers should find the Special Issue enlightening and insightful for understanding state-of-the-art remote sensing and spatial information science research, development and applications.

Highlights

  • Since its inception in 1994, the International Symposium on Remote Sensing (ISRS) has become one of the prominent symposia on the photogrammetry, remote sensing and spatial information sciences

  • Starting in 2012, ISRS has been co-organized by the Korean Society of Remote Sensing (KSRS), Chinese (Taipei) Society of Photogrammetry and Remote Sensing (CSPRS) and Remote Sensing Society of Japan (RSSJ)

  • This Special Issue consists of featured contributions to the 2019 International Symposium on Remote Sensing held in Taipei, Taiwan, April 17–19, 2019

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Summary

Introduction

Since its inception in 1994, the International Symposium on Remote Sensing (ISRS) has become one of the prominent symposia on the photogrammetry, remote sensing and spatial information sciences. The symposium serves as a scientific forum and provides all the participants from all over the world with an effective platform for sharing and exchanging their new ideas and experiences with state-of-the-art techniques and the latest developments in research and development in the photogrammetry, remote sensing and spatial information sciences as well as their applications in related fields. Following its precedent [1], the organizer of the “2019 International Symposium on Remote Sensing” planned a Special Issue in Remote Sensing to publish peer-reviewed feature papers presented at ISRS-2019. After rigorous review and revision, eight papers were selected for publication in the Special Issue on Selected Papers from the “2019 International Symposium on Remote Sensing”

Overview of Contributions
Radiometric Calibration of Optical Satellite Sensor
Machine Learning for Close-Range Photogrammetry and Image Analysis
Integration of Remote Sensing and Spatial Analysis
Results
Full Text
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