Gambar Cadas Antropomorfik di Kepulauan Maluku

Anthropomorphic Images of Rock Art In Moluccas Archipelago, Indonesia (Case Study In Kaimear and Kisar Island, Maluku). The Maluku Islands Cluster consists of a group of large and small islands located horizontally and vertically between the equator. These geographical conditions make the Maluku Islands as one of the characters of archipelagic rock image sites in Indonesia. This paper presents the shape and distribution of anthropomorphic rock images in the Maluku Islands in the Wallacea Region. The research location covers the southeastern part of the Maluku Islands, namely Kaimear Island and Kisar Island, Maluku Province. The purpose of this paper is to determine the shape and distribution of anthropomorphic rock images in the Maluku Islands. This study used the descriptive qualitative method. The data used is a combination of data obtained from research in 2014 - 2019. The results show that there are eighty forms of human rock images scattered on sites on Kisar Island, which include the Here Sorot Entapa, Herku, Intutun, Irmula, Kulwasuru, Lenhorhorok, Liotitin, Salpuru,Wakurai, Hersorsorot, and one site on Kaimear Island, the Kel lein Site. Abstrak. Gugusan Kepulauan Maluku terdiri atas gugusan pulau-pulau besar dan kecil terletak sejajar secara horizontal dan vertikal di antara garis khatulistiwa. Kondisi geografis tersebut menjadikan Kepulauan Maluku sebagai salah satu karakter situs gambar cadas kepulauan di Indonesia. Tulisan ini menyajikan bentuk dan sebaran gambar cadas motif antropomorfik di Kepulauan Maluku yang berada di Kawasan Wallacea. Lokasi penelitian mencakup wilayah gugusan Kepulauan Maluku bagian tenggara, yaitu Pulau Kaimear dan Pulau Kisar, Provinsi Maluku. Tujuan penulisan ini adalah untuk mengetahui bentuk dan sebaran gambar cadas antropormofik di Kepulauan Maluku. Penelitian ini menggunakan metode deskriptif kualitatif. Data yang digunakan merupakan gabungan antara data yang diperoleh dari penelitian tahun 2014 - 2019. Hasil penelitian menunjukan bahwa terdapat delapan puluh bentuk gambar cadas manusia yang tersebar di situs di Pulau Kisar, yang meliputi Situs Here Sorot Entapa, Herku, Intutun, Irmula, Kulwasuru, Lenhorhorok, Liotitin, Salpuru, Wakurai, Hersorsorot, dan satu situs di Pulau Kaimear, yaitu Situs Kel lein.

Rock Image Intelligent Classification and Recognition Based on Resnet-50 Model

Machine learning algorithms becomes popular for intelligent classification of rock images. In this paper, it selects Resnet 50 neural network model to divide the data sets based on the rock pictures taken under the white light lamp. By continuously adjusting the parameters of each layer, the intelligent classification of rocks is carries out. The training final validates accuracy reached 94.12%.

GMSRI: A Texture-Based Martian Surface Rock Image Dataset

CNN-based Martian rock image processing has attracted much attention in Mars missions lately, since it can help planetary rover autonomously recognize and collect high value science targets. However, due to the difficulty of Martian rock image acquisition, the accuracy of the processing model is affected. In this paper, we introduce a new dataset called “GMSRI” that is a mixture of real Mars images and synthetic counterparts which are generated by GAN. GMSRI aims to provide a set of Martian rock images sorted by the texture and spatial structure of rocks. This paper offers a detailed analysis of GMSRI in its current state: Five sub-trees with 28 leaf nodes and 30,000 images in total. We show that GMSRI is much larger in scale and diversity than the current same kinds of datasets. Constructing such a database is a challenging task, and we describe the data collection, selection and generation processes carefully in this paper. Moreover, we evaluate the effectiveness of the GMSRI by an image super-resolution task. We hope that the scale, diversity and hierarchical structure of GMSRI can offer opportunities to researchers in the Mars exploration community and beyond.