A5039845243- Remote-Sensing Image Classification
- Remote Sensing in Agriculture
- Geochemistry and Geologic Mapping
- Planetary Science and Exploration
- Land Use and Ecosystem Services
- Astro and Planetary Science
- Remote Sensing and Land Use
- Advanced Manufacturing and Logistics Optimization
- Satellite Image Processing and Photogrammetry
- Supply Chain and Inventory Management
- Energy, Environment, Economic Growth
- Innovation Diffusion and Forecasting
- Sustainability and Ecological Systems Analysis
- Sustainable Supply Chain Management
- Atmospheric and Environmental Gas Dynamics
- Elevator Systems and Control
- Paleontology and Stratigraphy of Fossils
- Smart Parking Systems Research
Tongji University
2024
Sichuan University
2017-2024
Ningbo University
2019
This article introduces the design and imaging principles of Advanced Hyperspectral Imager (AHSI) aboard China's GaoFen-5 satellite. The AHSI is a visible nearinfrared (VNIR)/short-wave infrared (SWIR) HSI. It first spaceborne hyperspectral sensor that utilizes both convex-grating spectrophotometry an improved three-concentric-mirror (Offner) configuration. has 330 spectral bands, 60-km swath width, 30-m spatial resolution. Various tests have been designed to evaluate its performance,...
Mapping different land cover types with satellite remote sensing data is significant for restoring and protecting natural resources ecological services in coastal wetlands. In this paper, we propose a hierarchical classification framework (HCF) that implements two levels of scheme to identify The first level utilizes the designed decision tree roughly group covers into four rough classes second combines multiple features (i.e., spectral feature, texture feature geometric feature) each class...
Sustainable urbanization emphasizes properly handling the relationships between people, people and society, nature in process of urban development. However, sometimes these interactions are difficult to quantify. Through an analysis structure functions sustainable system, this paper introduced synergetic theory constructed a synergy system (SUSS) with five subsystems; demographic change, economic development, spatial structure, environmental quality, social development; study synergistic...
In this study, we consider a dual-channel supply chain structure where manufacturer invests in green products and distributes them to green-conscious consumers through an offline retailer online platform. The has the flexibility choose sales via either wholesale mode or agency selling on platform channel. can obtain private information decide whether share it with manufacturer. This study investigates strategic interaction between manufacturer’s decision use platform’s strategy for sharing....
There are many problems in the maintenance of urban-shared bicycles, such as uncertain damage degree, wide distribution and so on. Urban-shared bicycles do not have a complete set reverse logistics recovery model. To solve this problem, paper proposes new management scheme. Firstly, makes quantitative analysis based on degree each shared bicycle. Secondly, centre assigns tasks according to repair capacity inspection vehicle. Thirdly, improved genetic algorithm is designed problem Pareto...
Abstract. Olivine is a mineral indicative of water activity in the mantle, and its presence can elucidate petrological evolution history magmatic igneous rocks. In this work, we conducted preliminary investigation into characteristics patterns spatial relationships between representative Martian (i.e., olivine) geomorphic features, aiming to provide geographical insights potential habitable environment Mars. Specifically, an analytical framework constructed explore connection hydrated...
This paper aims to compare the performance of GaoFen-1 (GF-1), GaoFen-5 (GF-5), Landsat-8 data in fine classification. An optimized sample selection method (OSSM) is developed ensure high quality samples. adopts different band combination strategies realize optimal training samples under aid normalized vegetation index (NDVI), water (NDWI) and components Kauth-Thomas (KT) Transformation. After that, support vector machine (SVM) implemented on these three types data. Experimental results...